Senior Data Scientist - Data Ventures and Insights
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- Partner with stakeholders in defining the business problems, identifying challenges, discovering opportunities, developing and implementing recommendations from data driven solutions and insights.
- Prioritize, scope and manage data science project and the corresponding key performance indicators (KPIs) for success
- Understand new and existing data sources and process pipelines and catalog / documenting them.
- Apply statistical analysis and visualization methods and generate hypotheses about underlying mechanics of business processes.
- Develop and implement AI solutions leveraging big data (e.g., comprehensive internal and alternative data sources) and advanced analytic tools and techniques (e.g., R, Python, Power BI, Tensor flow, Keras, etc.) across the organization that will contribute to revenue, cost / loss reduction, risk treatment, and compliance.
- Apply various Machine Learning and advanced analytics techniques while integrating domain knowledge into the Machine Learning solution.
- Establish best practices around ML Operationalization or MLDLC
- Promote collaboration with other data science teams within the organization and encourage reuse of artifacts
- Present to stakeholders possible opportunities, recommended solutions and impact to the business, and implementation proposals.
Qualifications
Soft Skills :
CommunicationEstablishes a wide network of contacts across the organization to solicit information.
Is proactive, and reaches out to gather key information.Uses contacts to become involved in key stakeholders planning and decision making.Engages peers and more junior members of the team, offers ideas and advice on how to do better; actively coaches and mentors team members and helps them raise their performance; develops coaching and mentoring strategiesStakeholder ManagementPre-empts conflict before it arises. Communicates well with stakeholders to surface issues, and resolve early. Acts as a mediator between stakeholders facilitating compromise. Knows when more formal approaches are needed and how to use them.
Analytical AbilityIs comfortable with making decisions that affect themselves and others. Looks for the most appropriate way to come to a decision. Involves the right stakeholders in the decision, and consults widely.
Technical Skills :
Technical Skills Possessed :Intermediate (Coding Skills, Data Management, Distributed Computing, Machine and Deep Learning, Storytelling and Visualization, Math and Statistics, AI Technical Skills)
Application Experience :3-5 years
Business and Industry Knowledge :Working to intermediate knowledge
Identifies the business model of the organization, and can articulate the business ecosystem within which it operates. Is able to articulate the relationships between members of the ecosystem and multiple industriesSeniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Banking
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