About us DataWeave 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@DataWeave We 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 image datasets 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 really excites you. - A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working 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. 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, sentiment analysis. - 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 language processing, and computer vision. - Excellent coding skills on multiple programming languages with experience building production grade systems. 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, including numpy, 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 work on 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.
LatentView (http://www.LatentView.com) is a business consulting firm headquartered in Princeton, NJ, delivering analytics solutions to business problems based on data-driven insights. A career with LatentView provides you excellent opportunities to apply principles of mathematics, statistics, econometrics, computer science and operations research to solve real world business problems. LatentView has won numerous business and technical awards, including Deloitte Fast 50 Asia, RedHerring Asia 500, KDD Cup for excellence in data mining, among others. LatentView is looking for talented people to be part of their client management and service delivery teams, in the Chennai, India. In this role, your Responsibilities will be: Be the face of LatentView in the clients 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 clients 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 You'll be a valuable addition to our team if you have: 5 - 15 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
Job description Role: Industry Domain Lead – Retail/ CPG/ Insurance /Banking/ Automotive Designation: Manager/ Senior Manager Career Track: Expert Location: Chennai Role Description/ Responsibilities: The Industry Domain Lead will be responsible for formulating and executing the supply side/ capability build strategy for their industry. He/ she will also be responsible for driving delivery excellence in all engagements in that industry by providing expert support on generating insights and generating a compelling case for action to deliver business impact. The Industry Lead will also support the development and execution of appropriate demand side/ go-to-market strategy for driving revenue growth and penetration into existing/ new accounts. • Develop a well thought out POV on the full spectrum of problems/ opportunities in that industry and analytics solutions/ approaches that are relevant to solving them. Articulate the POV in the form of “Industry Analytics on a Page” constructs that help explain it to stakeholders covering key business challenges, metrics, levers, analytics approaches, methodologies, frameworks, tools/ assets/ solutions and impact. • Understand work done till date in the industry and collate material relevant to developing the POV in the form of case studies and collateral. • Review approaches/ methodologies/ frameworks used across engagements and develop a reference guide that can be used to standardise and drive excellence. • Evaluate tools/ assets/ solutions developed across engagements till date and recommend usage/ updates/ redesign as appropriate. • Drive delivery excellence in all engagements in the industry by active participation/ providing expert support for solving complex business problems. • Develop issue/ hypothesis trees and other relevant problem-solving approaches for addressing the business challenges. • Review and provide critical comments to delivery teams on industry factors that need to be taken into consideration for raising the bar on dashboarding, modelling, solving fuzzy problems and generating insights. • Develop relevant sales/ marketing collateral for supporting the go-to-market strategy for the industry • Track revenue and penetration into existing/ new accounts and formulate supply side approaches to drive growth around recruitment, skill building, certification, refreshes to frameworks, methodologies, tools, assets and solutions • Drive/ support proposal/ RFP response development for opportunities in the industry; support NBD and Account Management teams in sales pursuits in existing accounts • Drive/ support LatentView marketing/ sales events such as roundtables and workshops. Represent LatentView in external events/ conferences to share/ represent our POV on the industry. • Drive LatentView's consulting capability in the industry and anchor / participate actively in consulting engagements. Skill/ Experience Requirements: • Deep knowledge of the business strategy/ analytical models and approaches/ value propositions adopted by leading organizations in the industry. • Excellent understanding of the business drivers/ levers, processes in the industry and how organizations can use analytics for driving business impact. • Sound knowledge of the analytics landscape and maturity spectrum within the industry. Familiarity with the problem solving analytical techniques (math) and modelling/ visualization tools (technology) relevant to the industry. • Conviction and ability to articulate the business impact of moving up the analytics maturity curve to internal audience as well as target clients/ stakeholders. • 8+ years of analytics experience in the industry in a direct or consulting capacity helping organizations adopt a data/ analytics-based decision-making framework. • Exceptional problem solving, analytical, communication and inter personal skills.
Job Summary DataToBiz is an AI and Data Analytics Services startup. We are a team of young and dynamic professionals looking for an exceptional data scientist to join our team in Chandigarh. We are trying to solve some very exciting business challenges by applying cutting-edge Machine Learning and Deep Learning Technology. Being a consulting and services startup we are looking for quick learners who can work in a cross-functional team of Consultants, SMEs from various domains, UX architects, and Application development experts, to deliver compelling solutions through the application of Data Science and Machine Learning. The desired candidate will have a passion for finding patterns in large datasets, an ability to quickly understand the underlying domain and expertise to apply Machine Learning tools and techniques to create insights from the data. Responsibilities and Duties As a Data Scientist on our team, you will be responsible for solving complex big-data problems for various clients (on-site and off-site) using data mining, statistical analysis, machine learning, deep learning. One of the primary responsibilities will be to understand the business need and translate it into an actionable analytical plan in consultation with the team. Ensure that the analytical plan aligns with the customer’s overall strategic need. Understand and identify appropriate data sources required for solving the business problem at hand. Explore, diagnose and resolve any data discrepancies – including but not limited to any ETL that may be required, missing value and extreme value/outlier treatment using appropriate methods. Execute project plan to meet requirements and timelines. Identify success metrics and monitor them to ensure high-quality output for the client. Deliver production-ready models that can be deployed in the production system. Create relevant output documents, as required – power point deck/ excel files, data frames etc. Overall project management - Creating a project plan and timelines for the project and obtain sign-off. Monitor project progress in conjunction with the project plan – report risks, scope creep etc. in a timely manner. Identify and evangelize new and upcoming analytical trends in the market within the organization. Implementing the applications of these algorithms/methods/techniques in R/Python Required Experience, Skills and Qualifications 3+ years experience working Data Mining and Statistical Modeling for predictive and prescriptive enterprise analytics. 2+ years of working with Python, Machine learning with exposure to one or more ML/DL frameworks like Tensorflow, Caffe, Scikit-Learn, MXNet, CNTK. Exposure to ML techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language. Experience working with data retrieval and manipulation tools for various data sources like: Rest/Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS. Strong foundation in Algorithms and Data Science theory. Strong verbal and written communication skills with other developers and business client Knowledge of Telecom and/or FinTech Domain is a plus.
If interested, fill the Google form: Investment Research Analyst: https://goo.gl/forms/M0qTJRDoEM5hNRim2 Roles and Responsibilities Closely monitor and analyse market trends, historical data and earning prospects across different portfolios Formulate potential investment strategies and advise both internal investment team and external clientele Develop complex financial and statistical models to derive reports and potentially diversify investments Regularly update learnings in the fast changing environment Keep Up-to-date with regulatory and monitory policies across the globe that can potentially impact market dynamics Education & Experience BSC/MSC/MBA in Mathematics, Statistics, Economics, Accounting or related field 0-2 Years experience as an investment analyst or related profile Skills Great attention to detail Excellent problem solving skills Excellent quantitative and qualitative abilities Strong analytical skills Great with numbers Basic knowledge of macroeconomics aggregates and regression analysis Good Knowledge of Microsoft Excel, Word & Powerpoint Strong oral and written communication skills