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Senior Manager, Data Science - 2072232

Company: Fidelity Investments
Location: Boston, MA
Posted on: March 15, 2023

Job Description:

Researches and builds scalable Artificial Intelligence (AI) and Machine Learning (ML) algorithms -- deep and reinforcement learning -- to improve customer experiences and drive business results. Drives to completion large-scale AI projects involving multi-dimensional databases, complex business infrastructure, model evaluation, tuning and performance, and operationalization and scalability of scientific techniques. Establishes decision strategies, using Python, Spark, Scala, R, SQL, and MatLab. Uses business knowledge to perform project management for technology projects. Works with end-users to coordinate product development and support. Acts as a primary liaison for business units to resolve various project/technology issues. Establishes full project life cycle plans for one or more complex projects.

Primary Responsibilities:

Elicits, captures, and interprets customer problems from multiple perspectives across projects or within a program.

Presents implications and recommendations with a strategic perspective influencing project parameters and outcomes.

Establishes and project manages analysis plans for multiple and moderately complex work steams.

Manages to the estimation, planning, analysis, design, and development of projects.

Holds accountability for integration into larger, multi-disciplined projects, as appropriate.

Partners with business stakeholders to identify and prioritize top AI opportunities, create business and technical requirements, and transform large volumes of data into AI-driven solutions using open source methods and technologies.

Leads ML strategy and road map planning.

Works across teams to influence and lead the direction of external teams.

Develops supervised and unsupervised ML algorithms -- regression, decision trees and random forest, neural networks, feature selection and reduction, clustering, and parameter tuning.

Analyzes and interprets statistical data to identify significant differences in relationships among sources of information.

Identifies relationships and trends in data and factors that could affect the results of research.

Determines whether statistical methods are appropriate, based on user needs or research questions of interest.

Prepares data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.

Develops or applies mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information.

Education and Experience:

Bachelors degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience in the job offered or five (5) years of experience prototyping and deploying Machine Learning (ML) solutions for institutional clients into production environments according to Agile methodologies.

Or, alternatively, Masters degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience in the job offered or three (3) years of experience prototyping and deploying Machine Learning (ML) solutions for institutional clients into production environments according to Agile methodologies.

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (DE) analyzing and evaluating Machine or Deep Learning (ML or DL) models in online advertising (clickstream data, Adobe, and Google analytics), recommender systems (Bayesian models, collaborative systems, and reinforcement learning), and user behavior applications (neural network classifiers and RNNs), using R, Python, or C++; writing production-level code to achieve greater performance using Luigi Pipeline Framework and PEP 8 coding standards; and prototyping and deploying ML solutions, using experimentation design and GLM.

DE liaising with business, product, and engineering stakeholder teams to analyze institutional clients business requirements -- converting requirements to ML/Artificial Intelligence (AI) solutions and assessing the impact of ML/AI solutions using experimentation design; and communicating revenue or cost saving benefits to senior leadership and external institutions.

DE executing data science projects across computing environments -- Linux, Oracle/SQL, Greenplum/Postgres, and Hadoop; developing ML models -- supervised, unsupervised, and reinforcement learning -- in Python with data science libraries and DL and Web frameworks (NLTK, SciPy, Scikit-Learn, NumPy, AWS SageMaker, Pandas, TensorFlow, PyTorch, and Django; and developing data pipelines on Amazon Web Services (AWS), GCP, and On-Premise computing in large financial services environments.

DE managing end-to-end data science and ML projects -- building versus buy decisions involving large-scale, multi-dimensional, and big-data databases and data lake technology (Snowflake), complex business infrastructure, and cross-functional teams; and developing AI/ML solutions designed for large institutional clients -- banks, RIAs, and BDs -- according to enterprise architecture guidelines.

For full job details and to apply, please visit https://jobs.fidelity.com/ and search for job number: 2072232.

Keywords: Fidelity Investments, Arlington , Senior Manager, Data Science - 2072232, Finance , Boston, MA, Massachusetts


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