Senior Data Scientist

1 week ago

Noida, Uttar Pradesh, India Ameriprise Financial Full time

Job Description role in supporting AWM LFO Predictive Analytics Ameriprise India team and responsible for leading the advanced data science related work.

Work in a matrix organization with data scientists, data engineers and decision science managers, collaborate with cross-functional teams, recommend, and implement analytical solutions to Advise & Wealth Management business.

Actively participate in strategic planning, project management and hands-on involvement in complex data analysis that supports business decisions.

Key Responsibilities :

- Responsible for the analysis, design, development and implementation of decision support models and data visualizations using Python, Microsoft Excel/PowerBI based tools like PowerPivot/PowerView.

- Develop innovative analytical solutions, like segmentation, predictive modeling, simulation modeling, and optimization.

- Develops and maintains infrastructure systems that connect organization's internal data sets; creates new data collection frameworks for structured and unstructured data of client organization.

- Interact with business partner to analyze and interpret business needs.

- Ensure to translate top level business goals into quantifiable analysis activities.

- Test and measure effectiveness of new approaches as well as process improvements.

- Coordinate tasks and assignments across many individuals.

- Develop presentation decks and communicate clearly to business leaders.

- Demonstrate thought leadership in solving complex business problems.

- People Management drive performance of the team, ensure strong levers of people development to build high performing teams.

Required Qualifications :

- Engineering (B/ B.Tech.) graduate or Masters (Stats, Quant, Mathematics, OR, etc.) from a well-recognized institute, having MBA degree would be preferred.

- 12+ Years of relevant experience in the field of Data Science.

- Experience in conducting hands-on complex analytics projects using advanced statistical methods such GLM, Bayesian methods, random forest, gradient boosting, neural network, and machine learning methods etc.

- Proficient in Python programming, cloud computing (AWS), SQL and Data Lake experience.

- Proven ability to present/communicate effectively complex technical materials to business leaders.

- Strategic thinker who can provide technical solutions for very complex business problems.

- Excellent knowledge of MS Office Suite.

- In-depth knowledge of financial services industry with a focus in risk and ability to articulate key concepts to others.

- People Leadership Experience (5+ years) Should have prior experience of leading team members, with responsibilities such as Hiring, Performance management.

Preferred Qualifications :

- Demonstrated ability to lead up by engaging business partners and finance personnel with clear, data-backed insightsExperience on working with AWS Cloud framework and associated tools.

- Experience on working in data lake environment.

- Knowledge about DataIku, PowerBI, Tableau, and other BI and analytical tools is preferred.

(ref:hirist.tech)

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