Impact Analytics
4 days ago
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
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