Impact Analytics - Lead Data Scientist - Predictive Modeling (4-6 yrs)

Overall, Job Description :

- Experience querying databases and using statistical computer languages : R, Python, SLQ, etc.

- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

- Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.

- Well versed with necessary data reprocessing and feature engineering skills.

- Strong background in Statistical Analysis.

- Constantly look and research on ML algorithms and data sources for better prediction

- Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes.

- Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy.

- Experience in establishing/scaling up data science functions

- Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights

- Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time

- Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes

- Work with product, growth, and marketing teams across product/campaign lifecycle

- Empower product and marketing teams by creating automated dashboards and reports using PowerBI

Skills/Capabilities :

- Model development experience in Python

- Strong and in-depth understanding of statistics

- Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems

- Ability to build & use relationships and influence broadly across the organization

- Results driven with strong project management skills, ability to work on multiple priorities

- Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing

- The primary focus will be in leading the application of data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What this role entail :

- Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting)

- Develop and maintain robust data processing pipelines and reproducible modelling pipelines.

- Explore data and communicate insights clearly

- Manage a team of data scientists and senior data scientists

- Analyze experimental results, iterate and refine modelsto create significant business impact

- Build analytic systems and predictive models

- Test performance of data-driven products

- Experiment with new models and techniques

What lands you in this role :

- At least 4-6 years of experience in Data Analytics Model development and deployment

- Strong forecasting experience

- Must have exposure to developing predictive analytics and machine learning algorithms for business applications

- Good knowledge of data management and visualization techniques

- Hands-on experience of working across SQL, R, Python, Hadoop

- Experience of managing teams of at least 2-3 members

- Strong organizational and leadership skills

- Understanding and exposure to business applications and integration of analytics with businesses.

- B Tech/BE degree in Computer Science, Data Science, Mathematics or similar field