About the organizationRootbridge Services Private Limited (Rootbridge) is designed to be a credible institutionthat will serve the non-profit sector and provide turnkey, affordable, quality-driven, andsustainable retail fundraising solutions. By being a living bridge between non-profits andtheir most pressing fundraising requirements, we endeavor to enable irreversiblepositive societal changes. Rootbridge operates with the single-minded aim to build itselfas a mission-oriented organization that delivers partner-friendly non-profit fundraisingservices.About the role:Leadership & Management:1. Build the technology operations at Rootbridge to meet the operational plans andin accordance with the vision of the organization2. Work closely and advise the Senior Leadership on vision and strategy fortechnology use at Rootbridge by analyzing the business requirements andadopting timely technology trends3. Work closely with business unit heads and support them with technology toachieve Rootbridge business goals.4. Uncover and understand customer needs and translate them into requirements.5. Lead infrastructure, information security, and system integration of stand-alonesystems in alignment with data compliance needs, site integrity, and scale ofoperations.6. Provide Leadership, management, and support to the technology team and helpthem achieve their self-improvement goals7. Ensure cost-effective and efficient availability of technology solutions that matchthe scale of growthOther specific business requirements of this role are as follows - Business Intelligence, Fund Management/ Financial Technology: SkillsCritical Thinking: the ability to think, reason well, and approach problems and issues in a systematic and logical manner.Handling Data @ Scale: Collect, Clean, verify, aggregate, analyzeData Visualization: Being able to tell compelling stories, Business Insights with data that will help in Business intelligence (Tableau Server, PowerBi, etc).Tools Mental Models like Second & third-order effects, inversion, Confirmation bias, availability bias, etc.R Python (Preferred)Tableau Server (Preferred) PowerBiCRM / Donor Management Systems:SkillsUnderstanding Use Cases, Requirements, and managing Vendors as per needsCustomizing pre-built non-profit aligned CRMs to execute requirementsTroubleshooting and adding features based on field requirements/problemsTraining & Hand Holding - Design of Training Strategy and ensure implementationAutomation - Design of the systems and interactions ToolsLucid chart or any similar tool Project Management (Trello)Salesforce NPSP is preferred but the experience of other CRM tools is also usefulSalesforce NPSP is preferred but the experience of other CRM tools is also usefulDocumentation like Gitbooks Apex, Triggers, and Process Managers in Salesforce - Ability to spec these outIT & Learning School: / Internal SkillsIT Administration: Strategy and Process for Procurement, Handling, Troubleshooting of IT assetsLearning Management System Apps for Learning, etc - Able to strategically identify and imagine the right tools that will amplify online learning for students and make it more engaging and effectiveToolsGSuite, HRMS, Slack, etc. OpenEdx or similar tools Online Learning Tools Ease of Payment + Innovation in Retention channelsSkills API Integration(s)App Development (Nice to have)Tools Razorpay APIs Exotel/SMS API integration Whatsapp Business Integration Ionic Framework or Native Apps/Web apps Position Details: Role: Head - Technology Reports to: Director of Retail Fundraising Location: Bangalore, India Salary: As per Industry standards Note: Remote work arrangements can be considered till Covid-related conditions
Research and develop statistical learning models for data analysis Collaborate with product management and engineering departments to understand company needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design Qualifications/Requirements: Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow Good team worker with excellent communication skills written, verbal and presentation Desired Experience: Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search Knowledge and experience with NLP technology Previous work in a start-up environment
Hypersonix.ai - Data ScientistAs a Data Scientist with Hypersonix (https://hypersonix.ai/), you will play a key role in translating data into insights for our clients. You will design, develop and implement processes and framework into our AI- Platform, that will help our clients make sense of the data they generate, and consume the insights to make informed decisions. Role – Analytics Job Responsibilities Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution. Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients Identify opportunities and partner with key stakeholders to set priorities, manage expectations, facilitate change required to activate insights, and measure the impact Deconstruct problems and goals to form a clear picture for hypothesis generation and use best practices around decision science approaches and technology to solve business challenges; Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-making; Translate and communicate results, recommendations, and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations. Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectiveness Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Good thought leadership & ability to structure & solve business problems, innovating, where required Must have the ability to adapt to changing business priorities in a fast-paced business environment Technical Expertise Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of data Should have a very good understanding of data structures and algorithms Experience leading and working independently on end-to-end projects in a fast-paced environment is strongly preferred Advanced knowledge of SQL/redshift with proficiency with Python/R Sound knowledge of advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients
About the Role:As a Product Analyst you’ll start your journey at Freight Tiger with what is best for our customers in the complex logistics ecosystem in India. That can be hard, but we refuse to settle, given we are a customer-obsessed company. We are committed to figuring out what matters to our customers and then doing everything in our power to deliver it.We are looking for an experienced product analyst who is passionate about solving customer problems and who has demonstrated success in analyzing product and business data to unravel actionable insights and help grow the overall value proposition for customers. In this role, you will be working on problem statements of various magnitudes which would help bubble up insights and steer initiatives. This role will work with the CEO’s office, product managers, customer success managers, and engineers on a frequent basis.Key responsibilities:Work with the business & product teams to drive analytics hypothesis generation, solution structuring, & problem solving.Interpret data, analyze results using analytics, research methodologies, and statistical techniques.Develop an in-depth understanding of the customer journey and current trends to improve initiatives.Dive deep into data and generate data-based insights to identify opportunities for growth.Build and maintain automated dashboards to drive awareness and understanding of metrics.Documentation of work using project management tools.Requirements:Graduate degree, preferably in Engineering / Statistics/ Operational Research/ Computer Science/ Mathematics or equivalent training or work experience.3-4 years of professional experience in Business Intelligence/Data Analytics. Preferably within a digital business.Experience with data warehousing concepts and ETL development and tools.Expertise in SQL, R and/or Python.Experience in managing high scale data.A solid grasp of common statistical applications and methods.The ability to clearly and effectively communicate the results of complex analyses.
Job Description We are looking for applicants who have a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research. The candidate will collaborate with researchers and engineers of multiple disciplines within Ideapoke, in particular with researchers in data collection and development teams to develop advanced data analytics solutions. Work with massive amounts of data collected from various sources.-4 to 5 years of academic or professional experience in Artificial Intelligence and Data Analytics, Machine Learning, Natural Language Processing/Text mining or related field.-Technical ability and hands on expertise in Python, R, XML parsing, Big Data, NoSQL and SQL
This position is responsible for developing sustainable scripts to perform data - extraction, manipulation,processing and visualization. We are looking for an individual with an analytical mindset and aneagerness to learn to join our analytics team.You will be responsible for● Building data and intelligence collateral for Sales, Marketing and Customer Success teams.● Working with the Business, Operations and Tech teams to understand and derive dataRequirements● Conducting exploratory data analysis to identify patterns in data that eventually serve as an inputto product.● Identifying data trends, presenting the findings and making recommendations.● Building ad hoc reports and/or other requested information and meeting deadlines for customerdelivery● Owning the quality and accuracy of data reports.● Building automation and tooling to proactively surface data issuesExperience and skills we are looking for● 3-5 years of experience in a data engineer role● Good working knowledge of MySQL/PostgreSQL/Redshift and understanding of data modellingand relational databases● Strong hands-on experience working in Python/R for data analysis and writing highly performantand advanced SQL queries● Demonstrated experience in timely creation of both standard and ad hoc reporting, data analysisand presentation of findingsPayments Made Smart● Proficiency with Word, Excel and PowerPoint, with advanced skills in Excel (Pivot Tables, V-lookups, and Macros)● Experience with Mode Analytics is good to have.● Experience with Dashboard and reporting toolsWhat will make you successful in this role• Strong communication and collaboration skills with ability to work with technology and businesspartners• Desire to learn emerging technologies• Identifying a customer’s needs before they ask
Ganit Inc. is the fastest growing Data Science & AI company in Chennai. Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics. We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite. We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai. Started with 3 people, the company is fast growing with 100+ employees 1. What do we expect from you - Should posses minimum 2 years of experience of data analytics model development and deployment - Skills relating to core Statistics & Mathematics. - Huge interest in handling numbers - Ability to understand all domains in businesses across various sectors - Natural passion towards numbers, business, coding, visualisation 2. Necessary skill set: - Proficient in R/Python, Advanced Excel, SQL - Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions - Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc. - Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities) - Should have handled large datasets and with through understanding of SQL - Ability to handle a team of Data Analysts 3. Good to have skill set: - Microsoft PowerBI / Tableau / Qlik View / Spotfire 4. Job Responsibilities: - Translate business requirements into technical requirements - Data extraction, preparation and transformation - Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation - Create and implement data models - Interact with clients for queries and delivery adoption 5. Screening Methodology - Problem Solving round (Telephonic Conversation) - Technical discussion round (Telephonic Conversation) - Final fitment discussion (Video Round
Who we are? Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. What do we believe? Best practices are overrated Implementing best practices can only make one n ‘average’. Honesty and Transparency We believe in the naked truth. We do what we tell and tell what we do. Client Partnership Client - Vendor relationship: No. We partner with clients instead. And our sales team comprises 100% of our clients. How we work? It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction : As a Senior Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent. You should be able to train models using existing data and use them in the most creative manner to deliver the smartest experience to customers. You will have to develop sophisticated enterprise/cloud technology applications that push the threshold of intelligence in machines. Working on multiple projects at a time, you maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You thrive in a fast, high-energy environment and are able to balance multiple projects in real-time. The thrill of the next big challenge drives you, and when faced with an obstacle, you find clever solutions. You must have the ability and interest to work on a range of different types of projects and business processes and must have a background that demonstrates this Ability. Your bucket of undertaking : ● Collaborate with team members to develop new models to be used for classification problems ● Responsible for software profiling, performance tuning and analysis, and other general software engineering tasks ● Use independent judgment to take existing data and build new models from it ● Collaborate and provide technical guidance ● Coming up with new ideas, rapid prototyping, and converting prototypes into scalable products ● Conducting experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences ● Improving existing models and creating self-learning systems. ● Stakeholder management and leadership ● Decision making and problem-solving Fit Assessment : A Searce team member is a highly motivated individual with a phenomenal amount of passion and energy for whatever he/she engages in; Who respects honesty, integrity, initiative, and creative approach to problem-solving; An inspiration to colleagues, he/she is a tenacious, and highly driven professional with a proven record of success and with a strong empathy for people - clients, partners, colleagues or vendors. Accomplishment Set : ● Extensive experience with Hadoop and Machine learning algorithms ● Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them ● Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence) ● Passion for solving NLP problems ● Experience with specialized tools and project for working with natural language Processing ● Programming experience in Python ● Knowledge of machine learning frameworks like Tensorflow, Pytorch ● Experience with software version control systems like Github ● Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills Education and Experience : ● B. E. / B. Tech / Masters in Computer Science ● Strong in academics and good aptitude ● Excellent communication skills with a flair to learn quickly ● 4-8 years of relevant experience ● Research and implement novel machine learning and statistical approaches ● Prior exposure to product development would be an added advantage
If you are interested in joining a purpose-driven community that is dedicated to creating ambitious and inclusive workplaces, then be a part of a high growth startup with a world-class team, building a revolutionary product! Our client is a vertical fintech play focused on solving industry-specific financing gaps in the food sector through the application of data. The platform provides skin-in-the-game growth capital to much-loved F&B brands. Founded in 2019, they’re VC funded and based out of Singapore and India-Bangalore. Founders are the alumnus of IIT-D, IIM-B and Wharton. They’ve 12+ years of experience as Venture capital and corporate entrepreneurship at DFJ, Vertex, InMobi and VP at Snyder UAE, investment banking at Unitus Capital - leading the financial services practice, and institutional equities at Kotak. They’ve a team of high-quality professionals coming together for this mission to disrupt the convention. AsData Scientist, you will develop a first of its kind risk engine for revenue-based financing in India and automating investment appraisals for the company's different revenue-based financing productsWhat you will do: Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product Back-testing investment appraisal models at regular intervals to improve the same Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle Identifying relevant sub-sector criteria to score and rate investment opportunities internally Candidate Profile: Desired Candidate Profile What you need to have: Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory) Experience in working in lending/investing fintech (mandatory) Strong Excel skills (mandatory) Previous experience in credit rating or credit scoring or investment analysis (preferred) Prior exposure to working on data-led models on payment gateways or accounting systems (preferred) Proficiency in data analysis (preferred) Good verbal and written skills
We’re building our Engineering team at Assembly, a fast-growing start-up based in Los Angeles and Bangalore! Our recognition and rewards platform offers organizations a better way to engage employees and drive organizational culture. About you We are looking for our very first Data Scientist to join the team and contribute to the evolving Assembly product offering. You will be responsible for building state of the art ML models to improve product usage to our customers. You are passionate about company culture. You love challenging yourself to constantly improve, and you share your knowledge to empower others. You are self-directed and scrappy, able to solve problems effectively without compromising the product. You look beyond the surface to understand the root causes so that you can build long-term solutions for the whole ecosystem. And finally, you enjoy being a part of a small but mighty team with a mission of changing the way companies engage their employees! Job Description We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products. Some early projects you will work on and not limited to: Build a system for automated fraud detection and analyze sentences to give value to our customers. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending the company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Requirements Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests. Experience with common data science toolkits, such as Notebook, Sagemaker, Weka, NumPy, Scikit. Excellence in at least one of these is highly desirable Great communication skills Experience on state of the art models Roberta, GPT etc is a huge plus Good applied statistics skills, such as distributions, statistical testing, regression, etc. Data-oriented personality
About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought- after startups in India upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning Role Summary Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Roles & Responsibilities 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Skills Required Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science technique
Associate Director – Data ScienceTiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.About the Role:As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.• Work closely with internal teams and client stakeholders to design analytical approaches tosolve business problems• Develop and enhance a broad range of cutting-edge data analytics and machine learningproblems across a variety of industries.• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &versioning, documentation, scaling, deployment, monitoring and maintenance etc.• Lead a team of data scientists and engineers to embed AI and analytics into the clientbusiness decision processes.Desired Skills:• High level of proficiency in a structured programming language, e.g. Python, R.• Experience designing data science solutions to business problems• Deep understanding of ML algorithms for common use cases in both structured andunstructured data ecosystems.• Comfortable with large scale data processing and distributed computing• Excellent written and verbal communication skills• 10+ years exp of which 8 years of relevant data science experience including hands-onprogramming.Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
Responsibilities Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data. Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems. Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis. Define the preprocessing or feature engineering to be done on a given dataset, data augmentation pipelines, training models and tuning their hyperparameters, analyzing the errors of the model and designing strategies to overcome them Selecting features, building and optimizing classifiers using machine learning techniques Extending the company’s data with third party sources of information when needed Creating automated anomaly detection systems and constant tracking of its performance Skills and Qualifications Bachelors in mathematics, statistics or computer science or a related field; Masters or PHD degree preferred. Experience with one or two of the following: Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai) Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud Experience with building and deploying predictive and prescriptive analytics models Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets. Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues. Strong communication and interpersonal skills
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.
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.