We at Faasos, are looking for a Data Scientist that will help us discover the information hidden in our ocean of data, and help us make smarter decisions to "delight" our customers .Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Requirements would include - build recommendation systems-, - automate customer scoring using machine learning techniques-, - develop internal A/B testing procedures-, - build automated fraud detection-, "creating optimal price prediction model" etc. Responsibilities - Selecting features, building and optimizing classifiers using machine learning techniques - Data mining using state-of-the-art methods - Extending 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 Skills and Qualifications - Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with common data science toolkits, such as Python, Pandas, Jupyter, Spark, Hadoop etc. Excellence in at least one of these is highly desirable - Great communication skills - Experience with data visualisation tools, such as D3.js, GGplot, etc. - Proficiency in using query languages such as SQL, Hive, Pig - Experience with NoSQL databases, such as MongoDB, Elasticsearch, etc - Good applied statistics skills, such as distributions, statistical testing, regression, etc. - Good scripting and programming skills - Data-oriented personality Interested can share their profiles.
It is my pleasure to introduce you to IDEAS2IT Technologies, Chennai. If you are looking for a challenging position as a BigData engineer solving complex business problems by applying the latest in Data Science, Machine Learning and AI read on. Ideas2IT is a high-end product engineering firm that rolls out its own products and also helps Silicon Valley firms with their product engineering. We are looking for super smart Techies to be part of our Data Science Lab. You will be working on projects like An AI platform built using Google TensorFlow for a predictive hiring product. Betting odds platform that to match odds offered to leverage spreads PPO platform for predictive pricing and promotions for enterprise eCommerce. Part of your toolset will be Google TensorFlow, Python ML frameworks, Apache Spark, R, Google BigQuery, Scala / Octave, Kafka and so on. If you have any relevant experience great! If not, it doesn't matter. We believe in hiring people with high IQ and the right attitude over ready-made skills. As long as you are passionate about building world-class enterprise products and understand whatever technology that you are working on in-depth, we will bring you up to speed on all the technologies we use. Oh BTW, did we mention that you need to be super smart? Sounds interesting? Ideas2IT is a high-end product firm. Started by an ex-Googler, Murali Vivekanandan, we count Siemens, Motorola, eBay, Microsoft and Zynga among our clients. We solve some very interesting problems in the USA startup ecosystem and have created great products in the process. When we build, we build great! We actively contribute to open source projects. We've built our own frameworks. We're betting the house on Big Data, and with a Stanford grad leading the team, we're sure to win. We have rolled 2 of our products as separate companies last year and raised institutional funds - Pipecandy, Idearx.
Being in a small team, this role is for a sound developer who is in love with data. Whether it's working with huge amount of data, using data to drive insights or finding innovative ways to pull data. Let us know if you'd like to explore this role with us more.
We are a FinTech Startup that has great opportunity to disrupt financial services sector and has global outreach. We are working on exciting technologies from Big Data, Bayesian Algorithm, Machine Learning to NLP and high computational models. We plan to launch the product in multiple countries. We have a large vision and great opportunity to be game changer in the industry. We are not looking for iterations in pursuit of a business model. Our Business model is our IP. We are intending to create new algorithms to mine data to create a customer segment of one and add real value to our customers. Our work would entail creation of new intellectual properties and many opportunities for patents. If you are excited to join a startup that holistically transforms Banking sector in India, please reach out to me - firstname.lastname@example.org
We are a FinTech Startup that has great opportunity to disrupt financial services sector and has global outreach. We are working on exciting technologies from Big Data, Bayesian Algorithm, Machine Learning to NLP and high computational models. We plan to launch the product in multiple countries. We have a large vision and great opportunity to be game changer in the industry. We are not looking for iterations in pursuit of a business model. Our Business model is our IP. Looking for a smart CTO who is keen to ride this journey along with us. Following are key traits that we are looking for: Experience: - Prior Statup experience, preferably in Fintech - Willing to get hands dirty and be smart about approach Technology: - Strong Engineering Discipline - Knowledge of full stack technology - Exposure/Understanding of Machine Learning - Not looking for specific technology area as I expect CTO to have the ability to learn new technologies as required Leadership/Soft skills: - Strategic Thinking (more importantly, Thinking Big) - Innovative - think out of the box - Good Communication skills - Strong Customer focus We are currently in Product Development stage and are keen to bring on an outstanding CTO - who not only contributes from technology perspective but also from business perspective.
Core Skills Python Data science and analytical background Interacting with technical and non-technical stakeholders Machine learning and exploratory data analysis Desirable Technical Skills Data Science and Engineering: PySpark, PySpark ML, Python, Hive, Postgres, Sk-learn Machine Learning: Collaborative filtering, NLP, TF-IDF, Decision trees, Regression, Clustering AWS: EC2, RDS, EMR, Kinesis, S3 Cloud Providers: AWS (primary), Google Cloud, Microsoft Cognitive Services, Watson APIs Visualization & UI: Tableau, Plotly, Python Flask, Zeppelin
Key Skills: · Ability to balance the demands of multiple clients concurrently. · Ability to convey complex data science concepts to a non-technical audience. · Proficiency in MySQL or similar relational database software. · Extensive Microsoft Excel and Access knowledge and skills. · STATA or R and Python proficient. · Familiarity with R or Pandas for data analysis · Able to craft complex visualizations of data and system architecture; familiar with the creation of operational data models (program data ecosystem mapping and interpretation). Experience: · 3-7 years’ experience in an analytics-intensive position - data scientist, statistician, economist, or comparable. · 3-7 years’ experience with data and/or enterprise software implementation in the field: benchmarking of technology and systems, data management and architecture, program implementation and cycle analysis. · Experience performing data management exercises inside of large organizations (bonus points forinternational public sector entities). · Prior experience with complex data set merging, cleaning, and aggregation
Position:-Data Scientist Location :- Gurgaon Job description Shopclues is looking for talented Data Scientist passionate about building large scale data processing systems to help manage the ever-growing information needs of our clients. Education : PhD/MS or equivalent in Applied mathematics, statistics, physics, computer science or operations research background. 2+ years experience in a relevant role. Skills · Passion for understanding business problems and trying to address them by leveraging data - characterized by high-volume, high dimensionality from multiple sources · Ability to communicate complex models and analysis in a clear and precise manner · Experience with building predictive statistical, behavioural or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. · Experience using R, SAS, Matlab or equivalent statistical/data analysis tools. Ability to transfer that knowledge to different tools · Experience with matrices, distributions and probability · Familiarity with at least one scripting language - Python/Ruby · Proficiency with relational databases and SQL Responsibilities · Has worked in a big data environment before alongside a big data engineering team (and data visualization team, data and business analysts) · Translate client's business requirements into a set of analytical models · Perform data analysis (with a representative sample data slice) and build/prototype the model(s) · Provide inputs to the data ingestion/engineering team on input data required by the model, size, format, associations, cleansing required
Skills Required : SQL, Python Data Science Stack (strongly preferred), Machine Learning and Statistics, Data Visualization , A/B Testing, Bandit problems, Recommendation systems, Reinforcement learning Roles & Responsibilities · Ability to work independently to apply technical skills to solve a business objective · Exploratory data analysis employing large data sets involving visualization and basic statistical techniques to develop intuitions and identify key variables in data science projects · Data extraction and joining data from multiple sources; SQL is a must; Python preferred · Strong familiarity and experience with Machine Learning algorithms; The Python Data Science stack is ideal (e.g. sklearn, etc); Regression, Clustering, SVM, Decision Trees, DNNs, Recommendation Algorithms, etc. · Specific experience sought: real-world A/B testing, multi-armed bandit algorithms, causal inference · Ability to read and apply, with guidance, cutting edge Machine Learning research papers to solve business problems
We provide product & data engineering solutions using open source Big Data stacks, Machine Learning and advanced custom visualizations. Additionally, we are building the following products: InApptext : Spot errors in UI screens and text. Provide feedback, collaborate with developers and make changes to user interface text instantaneously. What we are looking for: Position : Senior Server Side Engineer Experience : 3 to Six or more years Location : Hyderabad, India Qualification : BTECH/BE in CSE or equivalent Skills Required: Server side developers with good server side development experience in Java AND/OR Python Exposure to Data Platforms (Cassandra, Spark, Kafka) will be a plus Interested in Machine Learning will be a plus Good to great problem solving and communication skill Ability to deliver in an extremely fast paced development environment Ability to handle ambiguity Should be a good team player Job Responsibilities : Learn the technology area where you are going to work Develop bug free, unit tested and well documented code as per requirements Stringently adhere to delivery timelines Provide mentoring support to Software Engineer AND/ OR Associate Software Engineers Any other as specified by the reporting authority
We are looking for a Data Analyst who can turn data into information, information into insight and insight into business decisions. Responsibilities - Interpret data, analyze results using statistical techniques and provide ongoing reports - Develop strategies that optimize statistical efficiency and quality Identify, analyze, and interpret trends or patterns in complex data sets - Filter and “clean” data by reviewing previous reports, printouts, and performance indicators. - Locate and define new process improvement opportunities
SquadRun is a profitable SaaS startup that leverages the best of machines and humans to automate digital operations/ business processes for enterprises. We have offices in Noida and San Francisco. This position is primarily based in Noida. We combine customised workflows, workflow automation and a distributed human talent pool of stay at home moms and college students delivering guaranteed SLAs of high quality output, speed and scale, at great cost efficiency. Please see this overview deck for more context. In every business, there are digital operations/ business processes that need to be executed. We are disrupting the business process outsourcing industry and in the process solving some of the most exciting data science problems. You would need to apply the best machine learning techniques to various aspects of business process automation and help businesses perform operational work with 10X efficiency (cost, speed, quality) than existing alternatives. For example, catalog management for commerce, content moderation for social businesses, training for AI algorithms, customer onboarding for banking and insurance etc. One of the biggest challenge lies in shaping the product which can have flexible modules that can come together to scale most major workflows. We’re looking for a growth hungry early member who would like to apply data science to a real product right from the ground-up. Roles & Responsibilities You would closely work on building a start-of-the-art work automation pipelines for our platform product with the Data Science Lead: Workforce management to acquire, qualify, match, train and verify / Quality Control. Workflow engine to replicate each business process smartly with different configurations. Work automation (SquadAI) to help contractors by automating part of the workflows and ‘Humans ’in the loop machine learning to automate cognitive decisions once we have enough quality training data. Facilitate data driven experiments to derive product insights. Participate in research in artificial intelligence and machine learning applications from time to time. Background & Key traits 1+ years experience working with data intensive problems at scale from inception to business impact. Experience with modeling techniques such as generalized linear models, cluster analysis, random forests, boosting, decision trees, time-series, neural networks, deep learning etc. Experience using programming (Python/R/Scala) and SQL languages in analytical contexts. Experience with distributed machine learning and computing framework would be a plus (Spark, Mahout or equivalent). Why should you consider this seriously? We’re one of the few applications of AI/ data science that actually has a massive market and business model to create a long term valuable business rather than a short term acquisition play! In the last one year, we have built a product and solved problems for some of the largest brands in the world and tested platform at scale (processed 50+ million units of data). Our customers include Uber, Sephora, Teespring, Snapdeal, the Tata and Flipkart Group, amongst others and we have plans to grow 10x in the next 1.5 years. We are a well balanced team of experienced entrepreneurs and are backed by top investors across India and the Silicon Valley. The platform empowers college students, stay at home mothers and grey collared workers as a stable source of income for working on their smartphone (Android App Link). Our contractors earn 3x of what a typical back office BPO employee makes. For us, this is truly impactful. Every day, we see success stories such as this one - how a single mother is sustaining herself. Empowering our contractors to be financially independent is a strong part of our vision! Compensation INR 8-12 L cash + ESOP upto 4L. To Apply Download our app, go through our website, social media pages, linkedin profiles, blogs, etc. Read about our hiring framework here (Must read!). Mail cover letter and resume to email@example.com with the subject “Jr. Data Scientist @ SquadRun Inc”. In your cover letter, tell us why you are a good fit for this role!
SquadRun is a profitable SaaS startup that leverages the best of machines and humans to automate digital operations/ business processes for enterprises. We have offices in Noida and San Francisco. This position is primarily based in Noida with some travel. We combine customised workflows, workflow automation and a distributed human talent pool of stay at home moms and college students delivering guaranteed SLAs of high quality output, speed and scale, at great cost efficiency. In every business, there are digital operations/ business processes that need to be executed. We are disrupting the business process outsourcing industry and in the process solving some of the most exciting data science problems. We’re looking for a senior candidate to own and build our data science and platform product roadmap right from the ground up. You would need to apply the best machine learning techniques to various aspects of business process automation and help businesses perform operational work with 10X efficiency (cost, speed, quality) than existing alternatives. For example, catalog management for commerce, content moderation for social businesses, training for AI algorithms, customer onboarding for banking and insurance etc. One of the biggest challenge lies in shaping the product which can have flexible modules that can come together to scale most major workflows. We are looking for an early member who not only is a data science wizard but has strong product chops. Sample Workflow: Roles & Responsibilities You would closely work on building a start-of-the-art work automation pipelines for our platform product: Workforce management to acquire, qualify, match, train and verify / Quality Control. Workflow engine to replicate each business process smartly with different configurations. Work automation (SquadAI) to help contractors by automating part of the workflows and ‘Humans ’in the loop machine learning to automate cognitive decisions once we have enough quality training data. Architect & Build the work automation product layer right from the scratch by working closely with the platform engineering team. Define the long term data science platform product roadmap with focus on a strong platform layer foundation. Collaborate closely with engineering, business operations & product teams and leverage your expertise in devising appropriate measurements and metrics, designing randomized controlled experiments, architecting business intelligence tooling and tackling hard, open-ended problem, etc. Facilitate data driven experiments to derive product insights. Identify new opportunities to leverage data science to different parts of the our platform. Build a sharp data science team and culture. Background & Key traits 4+ years experience working with data intensive problems at scale from inception to business impact. Experience with modeling techniques such as generalized linear models, cluster analysis, random forests, boosting, decision trees, time-series, neural networks & deep learning. Strong communication and documentation skills. Experience using programming (Python/R/Scala) and SQL languages in analytical contexts. Experience dealing with large datasets. Advanced degree in a relevant field (preferred). Experience with distributed machine learning and computing framework would be a plus (Spark, Mahout or equivalent). Why should you consider this seriously? We’re one of the few applications of AI/ data science that actually has a massive market and business model to create a long term valuable business rather than a short term acquisition play! In the last one year, we have built a product and solved problems for some of the largest brands in the world and tested platform at scale (processed 50+ million units of data). Our customers include Uber, Sephora, Teespring, Snapdeal, the Tata and Flipkart Group, amongst others and we have plans to grow 10x in the next 1.5 years. We are a well balanced team of experienced entrepreneurs and are backed by top investors across India and the Silicon Valley. The platform empowers college students, stay at home mothers and grey collared workers as a stable source of income for working on their smartphone (Android App Link). Our contractors earn 3x of what a typical back office BPO employee makes. For us, this is truly impactful. Every day, we see success stories such as this one - how a single mother is sustaining herself. Empowering our contractors to be financially independent is a strong part of our vision! Compensation INR 20-28L cash + ESOP upto 30L. To Apply Download our app, go through our website, social media pages, linkedin profiles, blogs, etc. Read about our hiring framework here. (Must read!). Mail cover letter and resume to firstname.lastname@example.org with the subject “Data Science & Product Lead @ SquadRun”. In your cover letter, tell us why you are a good fit for this role!
- Predict upcoming fashion trends from market intelligence, - Implicit identification of personal style from user's images, social media & interactions, - Personalization for user purchase points and size, - Virtual styling, and - Intelligent screenless interfaces Couture.ai provides Artificial Intelligence as SaaS offering for global online retailers and fashion brands. Our prediction technology helps retailers tailor experiences for their customer, even without any prior interactions with them. We use our state of art DeepLearning technology to predict the behavior of newly acquired users, which helps retailers tailor experiences for each customer even without any prior interactions with them. After integrating our sdk with initial clients, we have seen product view increased by 25% and sales conversion went up to 3 times. We are looking for a research-driven expert in AI & Data Science team, to take our innovations to next horizon. Credible display of innovation in past projects (or Academia) and expertise with Machine Learning is a must. We are looking for a candidate who lives and talks Data & Algorithms, love to play with Machine Learning libs - TensorFlow, MLlib, SkiPy, NumPy, etc., experience with key DeepLearning algorithms etc. Tier-1 college (BE from IITs, BITS-Pilani, top NITs, IIITs or MS in Stanford, Berkley, CMU, UW–Madison) is must. Let us know if this interests you to explore the profile further.
To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.
Factspan is a pure play analytics company. We provide the expertise services that organizations need to establish their own analytics centre of excellence. We understand the complexities of running a business. Our dedicated team of data scientists and consultants partner with the clients to provide analytics tools and solutions which organizations need every day to take data driven decisions. Our management leaders are former Directors and Sr. Managers from premier organizations like University of Michigan, Fidelity, Amazon and Hotwire. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors. For more details and updates please refer to: www.factspan.com
Job Role Develop and refine algorithms for machine learning from large datasets. Write offline as well as efficient runtime programs for meaning extraction and real-time response systems. Develop and improve Ad-Targeting based on various criteria like demographics, location, user-interests and many more. Design and develop techniques for handling real-time budget and campaign updates. Be open to learning new technologies. Collaborate with team members in building products Skills Required MS/PhD in Computer Science or other highly quantitative field Minimum 8 - 10 yrs of hands on experience in different machine-learning techniques Strong expertise in Big-data processing (Combination of the technologies you should be familiar with Kafka, Storm, Logstash, ElasticSearch, Hadoop, Spark) Strong coding skills in at-least one object-oriented programming language (e.g. Java, Python) Strong problem solving and analytical ability Prior 3+ year experience in advertising technology is preferred
We are looking for a Data Scientist at India's fastest growing Coupons and Deals Website, to harness the power of analytics to drive the understanding, progression and user-engagement of our product. Currently we have 60L uniques and growing every month. The ideal candidate will have a background in Maths, Statistics, Computer Science and/or related Quantitative fields, and will have experience working with large data stores, statistical modeling, and will have some experience building software. Responsibilities: - Apply your expertise in quantitative analysis, data mining, and presentation of data to see beyond numbers and understand how users interact with products - Partner with Product team to solve problems, improve the product based on data, and identify trends and opportunities - Design and implement reporting and metrics that track and monitor the performance of our products, the quality of our data, and overall health of the business - Build data sets to empower operational and exploratory analysis - Automate analyses - Design and evaluate experiments monitoring product metrics, and understand root causes of changes in metrics - Build and analyze dashboards and reports - Influence product teams through presentation of findings - Communicate the state of business, experiment results, etc. to product and management teams - Understand ecosystems, user behaviors, and long-term trends - Identify levers to move key metrics - Evaluate and define metrics - Build models of user behaviors for analysis and powering production systems. - Identify and correct for any biases or errors in our data sets If you're looking for your most challenging role yet, this is truly the place for you. Your new home - http://blog.grabon.in/grabon-new-office/ Visit us at - http://www.grabon.in/
Transporter is an AI-enabled location stack that helps companies improve their commerce, engagement or operations through their mobile apps for the next generation of online commerce
We are looking for people with experience in Machine Learning. We work on DNNs and if you are deeply interested, can spend time in training as well (given you are very well versed on other ML concepts). Work is exciting and we have an awesome team on board already!
JSM is a data sciences company, founded in 2009 with the purpose of helping clients make data driven decisions. JSM specifically focuses on unstructured data. It is estimated that 90% of all data generated is unstructured and still mostly under-utilized for actionable insights largely due to high costs involved in speedily mining these large volumes of data. JSM is committed to creating cost effective innovative solutions in pursuit of highly actionable, easy to consume insights with a clearly defined ROI
Fly NavaTechnologies is a start-up organization whose vision is to create the finest airline software for distinct competitive advantages in revenue generation and cost management. The software products have been designed and created by veterans of the airline and airline IT industry, to meet the needs of this special customer segment. The software will be constructive by innovative approach to age old practices of pricing, hedging, aircraft induction and will be path breaking to use, encouraging the users to rely and depend on its capabilities. Wewill leverage our competitive edge by incorporating new technology, big data models, operations research and predictive analytics into software products, a means of creating interest and creativity while using the software. This interest and creativity will increase potential revenues or reduce costs considerably, thereby creating a distinct competitive differentiation. FlyNava is convinced that when airline users create that differentiation easily, their alignment to the products will be self-motivated rather than mandated. High level of competitive advantage will also flow with the following All the products, solutions and services will be Copyright. FlyNava will benefit with high IPR value including its base thesis/research as the sole owners. Existing product companies are investing in other core areas which our business areas are predominantly manual process Solutions are based on master thesis which need 2-3 years to complete and more time to make them relevant for software development. Expertise in these areas are far and few. Responsible for Collecting, Cataloguing, Filtering of data and Benchmarking solutions - Contribute to model related Data Analytics and Reporting. - Contribute to Secured Software Release activities. Education & Experience : - B.E/B.Tech or M.Tech/MCA in Computer Science/ Information Science / Electronics & Communication - 3 - 6 Years of experience Must Have : - Strong in Data Analytics via Pyomo (for optimization) Scikit-learn (for small data ML algorithms) MLlib (Apache Spark big-data ML algorithms) - Strong in representing metrics and reports via json - Strong in scripting with Python - Familiar with Machine learning, pattern recognition Algorithms - Familiar with Software Development Life Cycle - Effective interpersonal skills Good to have : Social analytics Big data
We are a startup looking to redefine how education is perceived and as such believe in a strong independent motivation to learn new things and we look for the same in our employees. The job of the senior developer will bleed in to all aspects of the product cycle not limited to his/her area of expertise and will be expected to have the ability to adapt and learn rapidly on very short iterations of product cycles. Since we are in the early stages we will offer exciting ESOPs to our early employees as well. Cover letters are so old fashioned. Show us who you are with a cover-letter-video. Upload your video to youtube or vimeo. We look forward to meeting you.