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Director, Data Science - 2044481

Company: Fidelity Investments
Location: Boston, MA
Posted on: January 28, 2022

Job Description:

Builds ML models that are supervised and unsupervised and engages in reinforcement learning in a large financial services environment. Analyzes and evaluates Machine or Deep Learning (ML and DL) models in online advertising (clickstream data, Adobe, and Google Analytics), recommender systems (Bayesian models, collaborative systems, restrictive boltzman machines, and reinforcement learning), and user behavior applications (neural network classifiers and RNNs), using R, Python, or C++. Develops and leads ML approaches for multiple concurrently projects with diverse scope and complex business and technical challenges across several business units and functions. Manages end-to-end data science and ML projects, using project management methodologies (Agile, Scrum, or Kanban) and technologies (Atlassian Stack). Draws on in-depth knowledge of the business or function to provide business unit-wide solutions.

Primary Responsibilities:

Researches and recommends new technologies in support of the strategic direction of the business unit and participates in the research and recommendation of appropriate models, methods, tools, and technologies to achieve business-unit-wide solutions.

Drives the completion and value generation of large-scale Artificial Intelligence (AI) projects.

Writes production-level code to achieve greater performance.

Prototypes and deploys ML solutions, using experimentation design, generalized linear models, and mixed effect models.

Collaborates with senior managers and decision makers to identify and solve a variety of high-level business problems.

Researches, evaluates, and implements appropriate and new analytical methodologies, approaches, and solutions.

Verifies and evaluates effective data/algorithm designs that fulfill business objects, productivity, and platform implementation.

Applies probability theory and statistical data to identify significant differences in relationships among sources of information.

Implements models production systems and leverages ML algorithms to measure business value and customer impact.

Formulates and applies mathematical modeling and optimizes methods to develop and interpret information that assists management with decision making, policy formulation, and other managerial functions.

Plans and leads organization wide initiatives.

Defines measurement frameworks.

Partners with industry experts to identify new data science models used across production systems.

Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.

Sets visions, goals, and direction of team/organization.

Oversees the technical implementation of cross-divisional or company architectural components.

Education and Experience:

Bachelors degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Business Administration, 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 solutions into production environments according to Agile methodologies for institutional clients -- Registered Investment Advisors (RIAs) and Broker Dealers (BDs).

Or, alternatively, Masters degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Business Administration, 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 solutions into production environments according to Agile methodologies for institutional clients -- Registered Investment Advisors (RIAs) and Broker Dealers (BDs).

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (DE) analyzing and evaluating Machine or Deep Learning (ML and DL) models in online advertising (clickstream data, Adobe, and Google analytics), recommender systems (Bayesian models, collaborative systems, restrictive boltzman machines, 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; and prototyping and deploying ML solutions using experimentation design -- design of experiments, generalized linear models, and mixed effect models.

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 clients -- RIAs and BDs.

DE executing data science projects across computing environments and platforms -- Linux, Windows, Oracle/SQL, Greenplum/Postgres, and Hadoop/Hive; performing software development -- programming in Python, using data science libraries (NLTK, SciPy, Scikit-Learn, NumPy, or Pandas), DL Frameworks (TensorFlow, PyTorch, or Caffe) and Web frameworks (Django and Flask); building ML models -- supervised, unsupervised, and reinforcement learning in a large financial services environment; and designing and developing data pipelines and cleansing data in Amazon Web Services (AWS), Google Cloud, Azure, and SageMaker, or using On-Premises computing tools.

DE managing end-to-end data science and ML projects, involving large-scale, multi-dimensional databases, complex business infrastructure, and cross-functional teams; and developing AI/ML solutions designed for large institutional clients (RIAs/ BDs).

For full job details and to apply, please visit https://jobs.fidelity.com/ and search for job number 2044481.

Keywords: Fidelity Investments, Providence , Director, Data Science - 2044481, Finance , Boston, MA, Rhode Island


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