Senior Manager, Data Science

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Job description

Job Description:

Position Description:

Performs large-scale data preprocessing, manipulation, and analytical tasks. Develops supervised and un-supervised Machine Learning (ML) algorithms (regression, decision trees/random forest, neural networks), advanced feature selection and reduction techniques, clustering, and hyperparameter optimization. Researches and builds sophisticated, innovative, and scalable Artificial Intelligence (AI) algorithms, models, and platforms to improve customer experience and drive business outcomes. Leads initiatives involving extensive multi-dimensional databases, complex business infrastructure, and collaboration with cross-functional teams.

Primary Responsibilities:

• Conducts data ingestion and cleaning, preparing substantial data volumes for detailed analysis using advanced data wrangling and preprocessing methodologies.
• Designs analytical solutions for abstract business challenges, employing data mining, MLg, and Deep Learning (DL) techniques to devise predictive and prescriptive models.
• Researches and develops state-of-the-art AI algorithms and methods to tackle complex and high-impact business issues.
• Evaluates and validates ML models to ensure their accuracy, reliability, and generalizability.
• Implements and monitors NL models in production environments, ensuring their optimal performance and scalability.
• Collaborates with business stakeholders to identify, define, and sequence data science initiatives, converting top analytical priorities into comprehensive business and technical specifications.
• Communicates and presents data science results and insights to both technical and business stakeholders ensuring clarity and actionable understanding.

Education and Experience:

Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, Computational Finance, or a closely related field and five (5) years of experience as a Senior Manager, Data Science (or closely related occupation) performing data analytics, building statistical models, and developing business intelligence applications to improve customer experience and drive business results in a financial services environment.

Or, alternatively, Master s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, Computational Finance, or a closely related field and three (3) years of experience as a Senior Manager, Data Science (or closely related occupation) performing data analytics, building statistical models, and developing business intelligence applications to improve customer experience and drive business results in a financial services environment.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise (“DE”) performing large-scale data extraction, transformation, and loading processes in large data warehouses with SQL, Apache Hive, or Python; and integrating and managing data across databases and platforms (SQL Server, Oracle, or AWS S3).
• DE designing and building Machine Learning (ML) models (regression, classification, decision trees, clustering, and recommender systems) and Deep Learning (DL) models (LSTM, VAE, and Transformers) in Python using Scikit-Learn, Transformers, or PyTorch; and performing distributed model training and hyperparameter optimization using Amazon Web Services (AWS) SageMaker.
• DE validating/assessing model soundness and performance by conducting in-sample and out-of-sample testing using RMSE, R-squared, AUC ROC, Precision, or Recall; and documenting model assumptions, methodologies, limitations, and usage guideline to ensure adherence to model governance and model risk management policies.
• DE designing and executing analytical solutions to enhance the efficiency of financial operations and services by automating financial data and document processing to reduce manual intervention; identifying financial fraud/anomalies through employing advanced data analytics using Python with Scikit-Learn, Pandas, or Statsmodels; and estimating and measuring customer propensities to pursuing financial products and services using Python with Scikit-Learn, XGBoost, or LightGBM.

Salary: $182,500.00 - $192,500.00/year.

Certifications:

Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients money.

Join Us

At Fidelity, you ll find endless opportunities to build a meaningful career that positively impacts peoples lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees Choice Award , we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you ve always imagined.

Fidelity s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite all business days of every other week in a Fidelity office.

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document , and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

We invite you to Find Your Fidelity at .

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to .

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