Positive Integers Private Limited (Pi), is a BIG DATA ANALYTICS company which architects “Be spoke’ decision science solutions. The focus is on delivering measurable & direct business impact through actionable analytics. Pi has deep expertise and has consolidated its position as a leading Analytics solutions company’ across FMCG, Banking and Insurance, Retail, Real Estate, Telecom, HR and Mobile wallets. Some of our long-standing clients include marquee names like Fivestar Business, Future Generalli, Oxigen, Sundaram Finance and Varthana in Banking and Finance; Vodafone, Maxis, Axiata, Telenor, SAS and Three in Telecom; Future Group, Hyper city in Retail; Godrej, Colgate-Palmolive, Wipro Unza, Reckitt Benckiser, Johnson and Johnson and Pernod Ricard in FMCG; MRF, Hitachi Power Systems, Global Engine Maintenance, Positive Moves, Apollo hospitals, YUV, Hamiltonian systems etc.
Job Summary/Purpose:
Positive Integers is looking for Data Scientist to join the organization. As a senior data scientist, you will be deploying advanced algorithms to build predictive models, create or apply frameworks and take your team of data scientists down the right path to solve a business problem.
Duties & Responsibilities:
Data scientist will develop and maintain statistical models, apply machine learning techniques and build high-quality predictive/prescriptive systems.
The Sr data scientist will also make technology and business recommendations, as well as develop key insights based on data analysis.
The candidate must be able to partner with business stakeholders in order to curate business problem statements and guide which business priorities using data.
Experience in A/B Testing, campaign design and scaling data science models into production level model that can handle complex real-time data
Hands on programming experience on Python-
Good to have experience in SAS /R/ SQL-
Experience in working on different analytics Tech-stacks (AWS/ Azure/ GCP)- Experience in analytics project management and working with business stakeholders- Expertise in collating data from different sources, data mining and data wrangling-
Must have good presentation skills
Experience:
Development of Predictive analytics models using machine learning and linear algorithms.
Have worked on classification, regression, and forecasting business problem statements
Expertise in model training and validation to improve higher accuracy and model stability
Experience in maintaining analytics model and develop analytics governance frameworks Insights. Campaigns. Results.
Have worked in different technology stacks (Cloud/on Prem) for model deployment and production
Experience in working with business stakeholders and for curation of analytics problems
Must have analytics delivery experience on Business Analytics, Data science, and Natural Language processing- Prior experience in Big Data projects
Must have worked on banking use cases like cross sell, upsell, customer retention, customer acquisition, customer servicing, personalization, ATM optimization, Branch analytics
Own Data assessment for analytics and building data foundations for analytics use cases.
Exposure to Artificial intelligence techniques and use cases
Experience in use of language models (NLP) for business
5+ experience in data science and business analytics
Academic Qualifications:
Engineering / BTech or Masters in Statistics
Good to have Masters and/or Certifications in Analytics
Must have worked with as data science profiles in the past