Data Science Manager

The Data Science Manager is a hands-on role, responsible for leading a team of data scientists and engineers, to deliver business value from large data sets through complex data research and analysis, and product development. While owning policy and strategy implementation for short-term results (1 year or less), this job oversees the development of data mining and data analysis methodologies to create algorithms and predictive models. This job monitors data science projects and processes and reviews the implementation of new data mining and data analysis processes. This job also ensures policies, practices and procedures are understood and followed by direct reports.

Key Responsibilities and Duties

• Develops & directs development and implementation of data mining protocols, architecture, and models as well as data analysis methodologies, used to identify trends in large data sets.
• Leads the implementation of new data mining and data analysis processes as needed to improve effectiveness and accuracy of data analyses, based on research of existing and emerging data science principles, theories and techniques.
• Conducts & oversees statistical reporting, data analyses insights, and data visualizations, used to better understand client relationships and improve client services and product offerings.
• Conducts & monitors data exploration and analytic projects, providing continual coaching of big data topics including visualization, analytic techniques, and data mining.
• Communicates insights from analyses to executive leadership in order to enable data decision making to improve business performance and operational outcomes based on machine learning and statistical analysis results.
• Coordinates the data modeling, statistical reporting, data analysis, and research completed by Data Scientists.
• Contributes to the digital transformation roadmap design and development, constructing frameworks, standards and guidelines.
• Manages performance of the direct reports through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and projects, motivation and coaching and mentoring of the team.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level

9PL

Minimum Qualifications:

• 5+ years of work experience in data science
• 2+ years of experience managing a team of data scientists or engineers
• Degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or other quantitative field

Preferred Qualifications

• Proven track record of delivering at least 1 successful model or product, into production and driving business value
• Strong programming skills in Python and AI/ML libraries (such as TensorFlow, Keras, PyTorch, etc)
• Expertise in natural language processing (NLP) and conversational AI
• Demonstrated work experience work with big data tools and large databases
• Experience with Cloud Technologies

Related Skills

Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics

Base Pay Range: $122,300/yr. - $168,000/yr.

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans).

Company Overview

TIAA is the leading provider of financial services in the academic, research, medical, cultural and government fields. We offer a wide range of financial solutions, including investing, banking, advice and education, and retirement services.

Benefits and Total Rewards

The organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. That's why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary.

Equal Opportunity

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Read more about the Equal Opportunity Law here.

Accessibility Support

TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.

If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team:

Phone: (800) 842-2755

Email: [email protected]

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