Senior Manager - Innovation
Location
Mumbai | India
Job description
Job Description A Position Overview Position Title Data Scientist - Sr Manager / AVP
Department Innovation
Level / Band Role Summary: We are seeking a highly skilled and experienced data scientist to join our team. The ideal candidate will be responsible for discovering the information hidden in vast amounts of data and using it to make smarter decisions to deliver even better products. The candidate will be expected to apply data mining techniques, do statistical analysis, and build high-quality prediction systems integrated with our products. The candidate will also be responsible for enhancing data collection procedures to include all relevant information for better analysis.
B Organizational Relationships Reports to AI COE Lead, VP - Innovation
Supervises C Job Dimensions Geographic Area Covered Internal Stakeholders Exteranal Stakeholders D Key Result Areas Project/Delivery Management - Apply data mining techniques to extract valuable business insights from vast amounts of data.
- Do statistical analysis and build high-quality prediction systems integrated with our products.
- Enhance data collection procedures to include all relevant information for better analysis.
- Prototype, test, and build models that will be adapted for use in our production data pipeline.
- Work closely with the engineering team to advise on system architecture and help guide engineering priorities.
- Build and lead a team of analysts and data scientists.
- Deepen our culture of data-driven decision making.
Managing the Team - Review the artifacts/deliverables for quality assurance purposes.
- Liaise with architects, business analysts, system designers, other Engineers, Data Scientists and other technical counterparts to provide optimal solutions.
Misc - Ensure compliance to AIA and TALIC rules and standards
- Constantly align with the IT team, Vendor team and business stakeholder
E Skills Required Technical - Strong technical skills, including proficiency in programming languages such as Python and SQL, as well as experience with statistical analysis and machine learning.
- Experience with big data technologies such as Hadoop and Spark.
- Experience with visualization tools such as Tableau.
- Experience in Pandas, R, SAS, or other tools appropriate for large-scale data preparation and analysis.
- Proficiency with Unix/Linux environments.
- Comfort manipulating and analysing complex, unstructured data from various sources.
- Ability to communicate complex quantitative analysis and approaches clearly.
- Deep experience with Excel, R, Python, and SQL (experience with Scala and Java preferred, but not required).
- Demonstrable experience with Machine Learning and Natural Language Processing.
- Comprehensive knowledge of predictive analytics, statistical modelling, and data mining (experience with data wrangling is a plus).
- Excellent communication skills - it is incredibly important to describe findings to a technical and non-technical audience.
- Strong software engineering background.
- Problem-solving aptitude.
Behavioral Essential Desired Interpersonal skills Communication skills Creative thinking skills Supervising/Leadership skills Teamwork Skills Influencing skills Relationship Building skills Decision making skills F Incumbent Characteristics Essential Desired Qualification BE / BTech / ME / MTech from reputed institute
Experience 10+ yrs of overall experience
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