Data Science Manager/Expert (hands-on IC role) Note : This is a full time work from office role. Job Description - This is a very hands-on IC role and requires (apart from other managerial duties) to code, build and deploy models and model monitoring mechanisms - Extensive cross-organization collaboration playing a crucial role in interfacing with various business, IT, Risk and internal DS functions and helping them with identifying opportunities to leverage data assets to build decision support models and tools - Work with Telesales, Digital, Marketing & CRM teams on defining customer segments basis varied criteria; help identify segments for up/cross sell, for different marketing and digital campaigns - Build advanced analytical models at scale spanning different areas - targeting and segmentation models, MMM, RFM, attribution models, next best offer, next best action, voice call (and meta data) analysis, propensity to convert, customer life-time value (CLTV), etc. - Utilize internal, 3rd party and social data to generate holistic insights - Gain full understanding of the organization's data assets to identify what can be leveraged - Come up with innovative ideas to leverage data and build PoCs, PoVs, gain buy-in from business functions and take PoCs and PoVs to production at scale - Translate use cases to analytics agenda, including data, approach and validation strategy - Develop best practices and model development, deployment and monitoring frameworks and guide data science and data engineering elements of AI & data science projects - Mentoring junior staff regarding technical solutions and data analysis techniques. - Drive full and thorough documentation of existing and future analytical models, deployment plans, monitoring mechanisms Requirements - University degree in mathematics/statistics/engineering/IT sciences from top level university. Masters degree is a plus - 4-8 years of work experience in data analytics/data science - Hands on experience with SQL,Python, Azure ML/GCP etc. Must have the ability/experience to navigate easily on command line interfaces on Linux systems - In-depth understanding of modern machine learning techniques (supervised and un-supervised learning) and their mathematical underpinnings - Deep experience working with real world NLP/NLU problems and Knowledge Management / Representation - Experience working with Knowledge Graphs, Bayesian networks, Deep belief networks, Q&A Systems (paraphrasing, multi-intent detection, long term context retention) will be an added advantage. - Experience working with latest state-of-the-art Deep Learning and Machine Learning approaches along with others (like Sequence Models - BERT, ELMo, Graphical Models etc.) - Ability to design, deploy and execute end to end ML/DL models at scale on on-prem servers in an ML-Ops driven environment - Experience with big data technologies like Hadoop ecosystem together with Spark, Google Big Query, PySpark, etc. - Advanced (hands-on) knowledge of Python based libraries like seaborn/plotly/bokeh or Tableau/another visualization tool - Interpret results and drawing key business insights from advanced quantitative analyses

Gurgaon/Gurugram

Home Credit -  Manager/Expert - Data Science 

Job Description for Home Credit -  Manager/Expert - Data Science  in Home Credit India in  Gurgaon/Gurugram for (4-8) years of experience. Apply Now!