Data Scientist/Business Analyst - Work experience 1 to 2 years Key Technical Skills: - Fluency with R/Python and commonly used machine learning frameworks - Fluency with database management systems like SQL and Postgres - Fluency with excel - Fluency in any of the popular visualisation tools like Power BI, Data Studio or Tableaus is an advantage. Requirements - Min 1+ years experience doing quantitative analysis - BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees preferred. - Fluency in SQL. Development experience in R or Python - Advanced understanding of statistical analysis - Ability to apply analytics in all aspects of the business - risk, marketing, operations,sales etc - Preferred experience in banking, payments, B2B Lending space - Experience with large data sets and distributed computing (Hive/Hadoop) a plus - Experience with building insights using varied/alternate data sources - Actively collaborate with technology team, product management, operations teams and other relevant stakeholders. - Move seamlessly between business problems and coding. - Present complicated analytical solutions to a non-technical audience with the intention towards building data driven and therefore efficient processes. - Readiness to work in a highly results-oriented and fast changing landscape in a fintech startup Key skills Python, R, Business Analysis, Statistical Analysis, Distributed computing, Data Scientist, Machine Learning, Data Structure, Data Analytics, modelling, portfolio monitoring
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.
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.
Ketto is an online crowdfunding space where social causes, NGOs, creative projects and entrepreneurial ventures in India are supported. With a Supporter base of 5 Million, Ketto has raised over INR 300 Cr for about 1.5 Lakhs fundraisers. We are Asia's most trusted and visited crowdfunding platform that helps you raise funds for personal needs, charitable causes and creative ideas. Ketto uses social media to mobilize the youth, effecting change and fueling creative ideas. It makes online giving and fundraising easy and safe. With its strong celebrity support, Ketto aims to connect individuals and brands with fundraisers, increasing awareness for various causes - social, personal, creative and entrepreneurial. Ketto aims to be the premier crowdfunding platform that empowers the crowd to fund and raise funds for their favorite causes, creative projects and entrepreneurial ideas using social media and e-commerce. Through crowdfunding, we're constantly trying to bring about a positive change in the world, one fundraiser at a time. If you're the kind of person who loves playing with the numbers and likes to make a difference with your work, join in! Here's all that you need to know about this profile: You would be Responsible for: 1. Commander for all the Analytics problems at Ketto. 2. Building predictive models to solve various business problems. 3. Lots of data crunching, analyzing and presenting the data to the Senior Management. 4. Prepare various Data/Statistical Models and optimization for the same. 5. Maintaining consistency with data for the Product, Marketing, and Business Development teams. What we would want : 1. Advanced understanding of SQL, R, and machine learning concepts 2. 1-3 years experience as an analyst or a data scientist. 3. Passionate about translating data and trends into meaningful insights 4. Experience with data visualization software like Tableau, looker, PowerBI etc. 5. A good understanding of Statistics and Machine learning concepts. What you would get : 1. A high-end exposure to Product, Marketing, and Business Development teams. 2. An agile environment and a startup culture and chance to work with some of the coolest professionals of the industry. If the above-mentioned responsibilities excite you and if you want to be a key to tomorrow, then we would we excited to meet you.
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