Senior Data Scientist Happymonk is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. We are looking for an experienced AI specialist to join the revolution, using deep learning, neuro-linguistic programming (NLP) computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. A data scientist knows how to extract meaning from and interpret data. This unique skill set requires the aid of statistical methods and machinery, but largely relies on analytical brainpower. Because raw data can rarely be utilized reliably, businesses in a variety of industries look to these technical experts to collect, clean, and validate their data. This meticulous process requires persistence and software engineering skills—expertise that’s integral to understanding data bias and to debug output from code. In simpler terms, data scientists find patterns and use the knowledge to build and improve. An artificial intelligence (AI) specialist applies their skills in engineering and computer science to create machines and software programs that can think for themselves. Most often, they use AI principles to address persistent business pain points, augment the capability of technical and human resources, and execute a change management/transformation process. The key contribution of an AI specialist is using emerging technologies, such as machine learning (ML) and neuro-linguistic programming (NLP), to solve business problems in new and creative ways that provide greater insight, accuracy, and consistency. This can be done in nearly any industry but is most often sought by the government, health care, and higher education institutions. The objective of this role Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy Understand company and client challenges and how integrating AI capabilities can help create solutions Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefit Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards Collaborate with product design and engineering to develop an understanding of needs Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes—and implement analytics for meaningful insights Keep current with technology and industry developments Daily and Monthly Responsibilities Advise C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership Manage a team to conduct assessments of the AI and automation market and competitive landscape Serve as liaison between stakeholders and project teams, delivering feedback and enabling them to make necessary changes to product performance or presentation Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems Bachelor’s degree in computer science Special Skills Required 5+ years of experience in applying AI to practical and comprehensive technology solutions 7+ years of experience in data science Proven experience with ML, deep learning, Python, NLP, Kafka, and Spark Experience with program leadership, governance, and change enablement Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns Experience with REST API development, SQL design, RDBMS design and optimizations Experience with innovation accelerators Experience with Cloud environments Bachelor’s degree in statistics, applied mathematics, or related discipline preferred Proficiency in data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS) Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects Professional Certification Location Bengaluru, Karnataka, India - 560072 Compensation Senior Position 8LPA/CTC-14LPA/CTC Key perks Working with the best in the industry Family Insurance Program Wellness Benefits Work from home Industries Internet Technology, Research and development, AI/ML, Architecture, Security & Surveillance, Wellness, Construction & Allied Industries
B.Tech/MTech from tier 1 institution 8+years of experience in machine learning techniques like logistic regression, random forest, boosting, trees, neural networks, etc. Showcased experience with Python, SQL and proficiency in Scikit Learn, Pandas, NumPy, Keras and TensorFlow/pytorch Experience of working with Qlik sense or Tableau is a plus Experience of working in a product company is a plus
2 to 4 years of relevant industry experience Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning Strong mathematical and statistics background is a must Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet Strong industry experience in using design patterns, algorithms and data structures Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib Experience in model building, hyper parameter tuning and optimization.
Responsibilities: Design and development of machine learning and deep learning algorithms for API security and Identity products Hands on Java and python coding skills to implement the algorithms in Apache Spark platform Research capabilities to solve advanced problems in the API security and Identity domain Data engineering, Data generation and Feature extraction Develop algorithms for modeling user behavior analysis Scaling of the ML engines for Big Data Technical skills to analyze HTTP/1.1, REST API logs Working closely with QA/product managers to deliver the product in time Required Qualifications: Minimum of one ML/AI product development and deployment experience in production Experience in handling/building models on top of Big Data Experience working with Realtime Time series data analysis Excellent understanding of machine learning techniques and algorithms, such as regression, classification, clustering, k-NN, Naive Bayes, SVM, Decision Forests, HMM, Sequence Models Deep understanding of model evaluation techniques like cross-validation strategies, ROC, A/B Testing Deep understanding of model evaluation metrics like AUC, RMSE, log-loss, entropy and statistical concepts like P-value, T-test, F-test Knowledge of deep learning experience with any one of framework is preferable (Tensorflow/keras) Experience in dealing with server logs is a plus Experience with MongoDB/Cassandra/Kafka is a plus Strong understanding of REST APIs and HTTP/1.1 protocols is required Programming experience is absolute necessary (Java/JDK8, Scala, Python) Minimum of 5 years of experience in design and development of analytics product using machine learning algorithms Strong communication skills B. E /M. E in Computer Science or related degrees from premium institutes like IITs, IISc, NIT, BITS Pilani, etc.
Key Responsibilities: Lead and guide a data science program to help understand how the wealth of security data can drive insights into weaknesses, threats, and opportunities. Use analytical rigor and statistical methods, programming, data modeling, simulation, and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing business questions, and making valuable discoveries. Identify/develop appropriate machine learning/data mining/text mining techniques to enable better business outcomes. Understand and analyze data sources including sampling biases, accuracy, and coverage. Break apart problems scientifically, providing insight into your recommendations and findings to both technical and non-technical partners. Research new ways for modeling and predictive behavior for large scale projects. Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity. Document projects including business objective, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics. Validate score performance. Document and present model process and performance. What will you need? Required Skills: Prior experience in performing the same role in a SaaS security product company. Minimum 8 years of relevant work experience in similar roles. Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, or other quantitative fields. Highly technical with both tactical and strategic capabilities. Hands-on experience implementing machine learning and security intelligence solutions. Proven track record in modifying and applying advanced algorithms to address practical problems. Deep understanding of algorithms, machine learning and data science. Confident interacting with business peers to understand and identify use case, with a strong ability to articulate solutions and present them to business partners. Sound knowledge of security in Cloud platforms such as AWS, GCP, Azure. Strong coding skills in one of the following: Python, R, or PySpark. Experience with Hadoop and NoSQL or related technologies. Knowledge of NLP/Text mining techniques and related open source tools. Outstanding collaboration and communication skills. Ability to effectively collaborate with distributed team. Understand and practice agile development methodology. Nice to Have: Understanding of DevOps, microservices architecture and container/Docker technologies.
Role: Lead Data Scientist We are looking for Savvy Data Science Lead to join our growing team of data scientists and experts. You will be responsible for expanding and optimizing our data models, prediction algorithms, image and visual data analysis and financial models. You will support our software developers, data engineers on building and enhancing models. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. Objectives and responsibilities This is a leadership position and the candidate will be responsible for playing the role of leading innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. The lead is tasked with consistently identifying and monitoring key business risks and realizing the data needs of the business. The Lead Data Scientist manages the junior data science teams and oversees all activities ensuring alignment with departmental and business-wide vision and strategies. Ensuring data quality and integrity Experimenter and tinkerer, constantly evaluating and qualifying new models and techniques Education and evangelization of data sciences throughout the business by communicating the vision and use cases of advanced analytics. Manage business’ external data and analytics partners and plays a leading role in the development and design of the vision, capabilities, infrastructure, and quarterly/annual roadmap for the launch of data sciences capabilities. Managing the data science talent needs through role definition, recruitment, and development of a team of data scientists that will jointly move the business’s agenda forward. Mentorship role to key data science positions, guiding them in them through the execution of their duties, and encouraging their professional growth in preparation for their occupation of his position in the future. Matching and optimizing algorithms that are fundamental to the business’s products/services identifying better matches that will ultimately improve the consumer experiences. Work closely with other Data and Analytics Teams, inclusive of data analytics, data warehousing, and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques. Responsible for playing a key analytical role where he/she will drive experimental data modeling designs within the business. Constantly run A/B tests in order to evaluate changes in the business’s product/services. Track the business’s performance against data analysis model and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement. Have a deep understanding the business’s marketplace dynamics. Take up initiative and conduct exploratory data analyses and experimental designs, which will help the business to better understand trends and behaviour within these markets and settle on the most suitable strategies to drive success and achievements of goals and targets. Qualifications At a minimum, a Master’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. A working experience of the same is also acceptable for the position. Must come with a solid understanding of machine learning The candidate for this position has to have had at least 7 years of working experience in a data science position, preferably working as a Senior Data Scientist. The candidate for this position will have to be highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Perl, Java among others. The candidate must also have a proven and successful experience track record of leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance. A suitable candidate will also have had experience working with and influencing and possess vast experience and expertise with probability and statistics, inclusive of machine learning, experimental design, and optimization. As a bonus he will also have had experience working with Hadoop. Top notch Communication skills will also be a necessity for the Head of Data Science. The Lead Data Scientist will also have to draft various reports and presentations that will be used by senior Data and Analytics management and executives for decision making and strategy development. The candidate must also demonstrate exceptionally good skills in SQL server reporting services, analysis services, Tableau, integration services, Salesforce, or any other data visualization tools. The lead data scientist will also need to be technologically adept and especially demonstrate an understanding of database and computer software. The lead data scientist must also be highly skilled in statistical and modeling packages such as SAS, Statistica, Matlab, R, visualization and other advanced analysis tools. He will also be an expert in data management programming such as SQL, PL-SQL, and Python as well as being familiar win the workings of motion-tracking data and time-series analyses. Must have experience in deploying machine learning models on production systems. Candidates having experience in AWS SageMaker will have an advantage. Experience - 7 to 12 years in a Data Science position. Who We Are We build innovative technology everyday! Crediwatch is a ‘Data Insights-as-a-service’ company that provides lenders, businesses with actionable credit intelligence on private entities they need to improve trust and increase their lending and trading activity. Crediwatch does this with no human intervention by deploying the latest practical AI and technology tools that provide the most reliable comprehensive real time inputs. Each day at Crediwatch is about striving for transparent insights, analysis and accurate results. If this aligns with your interests and aspirations, we have interesting positions for you. You Believe-in & will align with our Business Objectives Customer Obsession - Consistently listen to customers; test, enhance and improve the customer experience.Breakthrough Simplicity - An innovative approach to make everything simpler Diving Deep -Technique used to arrive at a solution-based approach to problem solving and idea creation Drive for Results - Focus on end result of any task Encourage and Improve - Encouraging and promoting team work and focus on continuous self-development at every stage. Be Ethical and Respectful - Willingness to do the right thing – even if it is hard; courteousness and being focused on the best in others. You Will Enjoy Our start-up environment - fun, casual, informal, family & pet-friendly! Ours is a highly energized playground where brilliant minds come together to make bold, impactful decisions every day! Needless to say, we have excellent filter coffee and health drinks round the clock, lunch buffets, PS4 and Foosball breaks and a stocked kitchen. We play to win and have fun doing it! We work to engage your brain by organizing brilliant TechTalks by industry leaders and frequent high-on-energy hackathons and engage your crazy fun-side at our well-planned retreats. We are a highly eco-conscious team and we encourage and support our team’s physical & mental wellbeing. All these and a great set of people to work with - We Are Crediwatch!
Role & Responsibilities: 1) Understand the business objectives, formulate hypotheses and collect the relevant data using SQL/R/Python. Analyse bureau, customer and lending performance data on a periodic basis to generate insights. Present complex information and data in an uncomplicated, easyto-understand way to drive action.2) Independently Build and refit robust models for achieving game-changing growth while managing risk.3) Identify and implement new analytical/modelling techniques to improve model performance across customer lifecycle (acquisitions, management, fraud, collections, etc.4) Help define the data infrastructure strategy for Indian subsidiary.a. Monitor data quality and quantity. b. Define a strategy for acquisition, storage, retention, and retrieval of data elements. e.g.: Identify new data types and collaborate with technology teams to capture them. c. Build a culture of strong automation and monitoring d. Staying connected to the Analytics industry trends - data, techniques, technology, etc. and leveraging them to continuously evolve data science standards at Credit Saison. Required Skills & Qualifications: 1) 3+ years working in data science domains with experience in building risk models. Fintech/Financial analysis experience is required. 2) Expert level proficiency in Analytical tools and languages such as SQL, Python, R/SAS, VBA etc. 3) Experience with building models using common modelling techniques (Logistic and linear regressions, decision trees, etc.) 4) Strong familiarity with Tableau//Power BI/Qlik Sense or other data visualization tools 5) Tier 1 college graduate (IIT/IIM/NIT/BITs preferred). 6) Demonstrated autonomy, thought leadership, and learning agility.
Description About Zycus : Headquartered in Princeton, U.S. in 1998, Zycus has grown every day to be established as an organization which now is a leading global provider of complete Source-to-Pay suite of procurement performance solutions. We develop cloud-based (SaaS) Source-to-Pay solutions for large global enterprises, and have successfully deployed about 200 solutions to over 1000 Global clients. We are proud to have as our clients, some of the best-of- breed companies across verticals like Manufacturing, Automotives, Banking and Finance, Oil and Gas, Food Processing, Electronics, Telecommunications, Chemicals, Health and Pharma, Education and more. With a team of 1000+employees, we are present in India with 3 development centers at Bengaluru, Mumbai & Pune and offices in the U.S., U.K., Australia, Dubai, Netherlands and Singapore. Know more about the LEADER of: Gartner’s 2013, 2015 & 2017 Magic Quadrant for Strategic Sourcing Application Suites and The Forrester Wave™: eProcurement, Q2 2017 We are in process of launching Merlin A.I. Studio™. The artificial intelligence (AI)-based platform will allow procurement teams to to build and deploy bots across the source-to-pay process. The bots will be used by firms leveraging more than 1,100 APIs from Zycus’ solution suite. “By deploying the intelligent bots from Merlin A.I. Studio™, procurement can put themselves in cruise control mode as the bots work towards accomplishing tasks with zero human intervention,” The Fortune 500-serving firm explained in its press release “Be it running an RFI event, discovering contract risks, negotiating with suppliers or transnational procurement; all one needs to do is launch the bot and see the magic unfold.” “It will empower procurement to transform their routine, repetitive & mundane procurement tasks, so that time, effort & resources can be optimized towards more strategic initiatives.”Exp : 1 to 10 Years Role : Data Scientist Location : Bangalore Education : Any Engineering From IIT ,NIT , IIIT ,VIT , BITS Pilani Please carry your original ID proof along with Hard Copy of Resume Requirements We are especially looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. If you are passionate about research and developing innovative technologies of interest to Zycus and the research community at large, the BigData Experience Lab may be the right place for you. All successful candidates are expected to dive deep into problem areas of Zycus’s interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage Zycus Skills Master’s or Ph.D. in statistics, mathematics, or computer science Only from Tier 1 Colleges Experience using statistical computer languages such as R, Python, SQL, etc. Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis Experience working with and creating data architectures Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, and statistical tests 2-10 years of experience manipulating data sets and building statistical models Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data. Data Scientist will report in to Director Engineering - Data Scentist & the roles & responsibilities are as below: Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems Benefits : Along with a competitive compensation structure, Zycus believes in an open culture learning environment, where everyone gets a chance to share their ideas and deliver par excellence. Here's a sneak peek to our life at Zycus.
• Model design, feature planning, system infrastructure, production setup and monitoring, and release management. • Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.• Experience in selecting features, building and optimizing classifiers using machine learning techniques.• Prior experience with data visualization tools, such as D3.js, GGplot, etc..• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.• Basic understanding of the banking industry is value addDevelop, process, cleanse and enhance data collection procedures from multiple data sources.• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.• Work closely with product teams to implement algorithms with Python and/or R.• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.• Facilitate integration with enterprise applications using APIs to enrich implementations
We are changing the way enterprises manage and consume data and insights by making data and insights platform smarter and better. As part of Cynepia Technologies, Customer Facing Data Scientists are critical to making our customers successful.- An ideal candidate should have strong fundamentals of applied data science in a business setting and should enjoy communicating and evangelizing data science solutions to business stakeholders. He must possess an understanding of the following :A) Product/Customer/People Skills :1. Someone who has been working for a fast-paced started environment in the capacity as an individual contributor and is focused on understanding customer problems/requirements and solving the same using Cynepia Products/Solutions that address the same.2. Executing data engineering/science workflows for customers3. Conducting and managing data science projects with customer's vision of success in mind.4. Engaging and collaborating with various customer teams and managing experience.5. Great oral and written communication and hunger to create and build is not negotiable.6. Strong customer interaction, management and organizational skills.B) Technical Skills :1. Experience with dataset preparation using python/R.2. Experience building and optimizing data pipelines, architectures and data sets.3. Hands-on experience building predictive models and preparing data for the same.4. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Understand and write code that adheres to and ensures serviceability, performance, reliability, availability and scalability of the architecture in a large enterprise5. Prior Experience working with the adoption of enterprise data products/usecases in a fast-paced startup environment desired.6. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain. At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain. Candidates will be expected to lead projects across several areas such as Demand forecasting Inventory management Simulation & Mathematical optimization models. Procurement analytics Distribution/Logistics planning Network planning and optimization Qualification and Experience 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain. Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain Hands-on experience in delivery of projects using statistical modelling Skills / Knowledge Hands on experience in statistical modelling software such as R/ Python and SQL. Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage. Highly proficient with Excel, PowerPoint and Word applications. APICS-CSCP or PMP certification will be added advantage Strong knowledge of supply chain management Working knowledge on the linear/nonlinear optimization Ability to structure problems through a data driven decision-making process. Excellent project management skills, including time and risk management and project structuring. Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis. Ability to liaison effectively with multiple stakeholders and functional disciplines. Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.
About Kiwi India Pvt .Ltd. Kiwi is a mobile entertainment company backed by top tier investors. We're focused on building the next generation of mobile entertainment platforms and applications incorporating rich media content and AI. Located in Bangalore, Karnataka, and Santa Monica, California, the company has previously built hit mobile titles on both Android and iOS, with top grossing games on the Android platform. OUR PRODUCT Joyride is a live game show app, with a growing lineup of interactive and diverse shows. Players can team up with their friends to compete against the community and split real cash prizes, and even host their own shows! On Joyride, you'll get to: Play in live shows for real money and bragging rights! Create your show and play on-camera for your followers Play as a team with friends Interact with the community in text chat to find new friends Join video chats with friends to keep playing when the show's over We have the following games live: Quizzo: Live trivia game. Careful - if you get one wrong, you’re out! Trivia Crush: It’s all about speed! Answer the trivia questions as fast as possible to make the cut. Music Mania: This song sound familiar? Guess the song title to stay in the game! Film Frenzy: Know this movie? Guess the film title to stay in the game! Sold!: Guess the auction price for an array of weird and wonderful items! Superfans: Are you the expert on Harry Potter? DC Comics? Then this show is for you - all themed trivia, all the time. Swipe: See how well you know our guests as you swipe through potential dates! The Crush: Help our guest choose between two potential dates as they get to know each other on camera Drawzzle: Watch the Host draw clues, and guess the word to stay in the game ….And many more shows coming soon. Get a glimpse of Joyride (Channels where we stream our game shows): Youtube Channel Twitch Channel FB Page JOB DESCRIPTIONKey Responsibilities: Track key metrics including retention, monetization, virality and general engagement. Provide various product and user insights to optimize the metrics and drive key business decisions Research into market data as well as user demographics to make well-informed decisions on future business strategies, product roadmap and production roadmap Bring expertise in your product areas and conduct rigorous A/B tests and data analysis to help improve customer experiences and identify profitable growth opportunities Managing various real-time reports and help stakeholders translate reports and data into actionable insights. This includes: P&L, LTV, virality and user behaviour reports with Product Team App performance, programming bugs with Tech Team User Acquisition and cost reports with Marketing Team and more Skills Required 7+ years of analytics experience in a consumer internet business with exceptional quantitative skills 2+ years of experience in product analytics Experience in analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) is a plus Experience in mobile or social games is a plus Experience in managing and leading teams is a plus Proficient in SQL, scripting (either of spreadsheets scripting/VBA/Java etc.) Experience in statistical analysis using a statistical programming language like R Detail-oriented and data driven mindset and aptitude for solving complex, unstructured problems involving multidimensional datasets Proven ability to work effectively with multifunctional teams Driven to succeed with a strong work ethic Excellent interpersonal and communication skills Bachelors or Masters in engineering/statistics or similar field from top tier colleges like IITs, IIITs is preferred
(Senior) Data Scientist Job DescriptionAbout usDataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.Data Science@DataWeaveWe the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.How we work?It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! What do we offer?● Some of the most challenging research problems in NLP and Computer Vision. Huge text and imagedatasets that you can play with!● Ability to see the impact of your work and the value you're adding to our customers almost immediately.● Opportunity to work on different problems and explore a wide variety of tools to figure out what reallyexcites you.● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexibleworking hours.● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.● Last but not the least, competitive salary packages and fast paced growth opportunities.Who are we looking for?The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.Key problem areas● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.● Document clustering, attribute tagging, data normalization, classification, summarization, sentimentanalysis.● Image based clustering and classification, segmentation, object detection, extracting text from images,generative models, recommender systems.● Ensemble approaches for all the above problems using multiple text and image based techniques.Relevant set of skills● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,optimization, algorithms and complexity.● Background in one or more of information retrieval, data mining, statistical techniques, natural languageprocessing, and computer vision.● Excellent coding skills on multiple programming languages with experience building production gradesystems. Prior experience with Python is a bonus.● Experience building and shipping machine learning models that solve real world engineering problems.Prior experience with deep learning is a bonus.● Experience building robust clustering and classification models on unstructured data (text, images, etc).Experience working with Retail domain data is a bonus.● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.● Experience working with a variety of tools and libraries for machine learning and visualization, includingnumpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.● Use the command line like a pro. Be proficient in Git and other essential software development tools.● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.● It's a huge bonus if you have some personal projects (including open source contributions) that you workon during your spare time. Show off some of your projects you have hosted on GitHub.Role and responsibilities● Understand the business problems we are solving. Build data science capability that align with our product strategy.● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.● Build robust clustering and classification models in an iterative manner that can be used in production.● Constantly think scale, think automation. Measure everything. Optimize proactively.● Take end to end ownership of the projects you are working on. Work with minimal supervision.● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
Required Skill Set: -5+ years of hands-on experience in delivering results-driven analytics solutions with proven business value - Great consulting and quantitative skills, detail-oriented approach, with proven expertise in developing solutions using SQL, R, Python or such tools - A background in Statistics / Econometrics / Applied Math / Operations Research would be considered a plus -Exposure to working with globally dispersed teams based out of India or other offshore locations Role Description/ Responsibilities: Be the face of LatentView in the client's organization and help define analytics-driven consulting solutions to business problems -Translate business problems into analytic solution requirements and work with the LatentView team to develop high-quality solutions "- Communicate effectively with client / offshore team to manage client expectations and ensure timeliness and quality of insights -Develop expertise in clients business and help translate that into increasingly high value-added advisory solutions to client -Oversee Project Delivery to ensure the team meets the quality, productivity and SLA objectives - Grow the Account in terms of revenue and the size of the team You should Apply if you want to: - Change the world with Math and Models: At the core, we believe that analytics can help drive business transformation and lasting competitive advantage. We work with a heavy mix of algorithms, analysis, large databases and ROI to positively transform many a client- business performance - Make a direct impact on business: Your contribution to delivering results-driven solutions can potentially lead to millions of dollars of additional revenue or profit for our clients - Thrive in a Fast-pace Environment: You work in small teams, in an entrepreneurial environment, and a meritorious culture that values speed, growth, diversity and contribution - Work with great people: Our selection process ensures that we hire only the very best, while more than 50% of our analysts and 90% of our managers are alumni/alumna of prestigious global institutions
WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratize machine learning algorithms for our customers and help them realize dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Junior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities: - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences: - Bachelors or Masters in a quantitative field from a top tier college - 1-2 years experience in a data science / analytics role in a technology / analytics company - Solid mathematical background (especially in linear algebra & probability theory) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the following: (a) Anomaly Detection, (b) Time Series Analysis, (c) Product Clustering, (d) Demand Forecasting, (e) Intertemporal Optimization - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences
About Vedantu --------------------------- If you have ever dreamed about being in the driver’s seat of a revolution, THIS is the place for you. Vedantu is an Ed-Tech startup which is into Live Online Tutoring. Recently raised Series B funding of $11M Job Description We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product, sales and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data analysis methods, building and implementing models and using/creating appropriate algorithms. Desired Skills 1. Experience using statistical computer languages (R, Python,etc.) to manipulate data and draw insights from large data sets. 2. Process, cleanse, and verify the integrity of data used for analysis. 3. Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying, heterogeneous sources 4. Experience with messy real-world data -- handling missing/incomplete/inaccurate data 5. Understanding of a broad set of Algorithms and Applied Math. 6. Good at problem solving, probability and statistics and knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications. 7. Knowledge of data scraping is preferable 8. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. 9. Experience with big data tools (Hadoop, Hive, MapReduce) a plus.