Senior Manager, Data Science at Fidelity Investments

Durham, North Carolina, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TechnologyIndustries

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Data Science (or related occupation) researching and building scalable Artificial Intelligence (AI) solutions using Machine Learning (ML) and Natural Language Processing (NLP) models and technologies to improve customer experience and drive business results
Or, alternatively, Master's degree in Computer Science, Data Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Data Science (or related occupation) researching and building scalable Artificial Intelligence (AI) solutions using Machine Learning (ML) and Natural Language Processing (NLP) models and technologies to improve customer experience and drive business results
Demonstrated Expertise performing advanced statistical analysis to develop and evaluate supervised and unsupervised ML algorithms -- Regression, Decision Trees, Neural Networks, Feature Selection, Hyper-Parameter tuning, and ranking models -- using Python and ML libraries (scikit-learn, Tensorflow, Keras, or PyTorch)
Demonstrated Expertise designing and developing NLP solutions to process unstructured and semi-structured text for NLP tasks - Named Entity Extraction (NER), intent detection, classification, or clustering -- using classical NLP and ML methods (Deep Learning (DL) and embeddings)
Demonstrated Expertise refactoring production-level code to achieve greater run-time performance and low latency; prototyping and deploying ML solutions using Docker-containers and Cloud-based environments (Amazon Web Services (AWS) servers or AWS SageMaker); and building service end-points, using REST API

Responsibilities

Designs, develops, and implements artificial intelligence (AI)/machine learning (ML) mathematical models for production business use cases, including curation and pre-processing of large data sets/sources, feature engineering, experimentation, as well as model performance monitoring
Structures project work, analyzes, and translates complex business questions into analytical projects and AI-powered capabilities
Manages and delivers critical AI/ML projects and discovers and verifies new opportunities to identify risk, grow business, scale and optimize operations
Works across technology, data science and business functions to develop solutions at all levels of the organization
Provides AI/ML leadership on analytic projects, often across one or more units and functions
Works directly with technology teams to integrate data science models into production systems
Develops and delivers reports on findings for technical and non-technical audiences
Provides core reviews for algorithm designs and implementations
Develops and applies mathematical or statistical theory and methods to collect, organize, and analyze data
Develops decision support software, services, and products
Formulates mathematical and simulation models of problems, relating constants and model features, as well as their restrictions and alternatives
Performs validation and tests of models to ensure adequacy and reformulate models as necessary
Defines and validates data and integration requirements for model pipelines
Analyzes, manipulates, and processes large sets of data using statistical and machine learning software
Identifies business problems or management objectives that can be addressed through AI or other similar predictive model and data analysis
Recommends AI and data-driven solutions to key stakeholders
Establishes and project manages analysis plans for multiple complex work streams

Skills

Key technologies and capabilities for this role

AIMachine LearningData PreprocessingFeature EngineeringModel Performance MonitoringStatistical AnalysisPythonSQLModel ValidationProject Management

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Manager, Data Science role?

A Bachelor's degree in Computer Science, Data Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field (or foreign equivalent) plus five years of experience as a Senior Manager, Data Science (or related) is required; alternatively, a Master's degree in these fields plus three years of such experience.

What key technical skills are needed for this position?

The role requires experience researching and building scalable AI solutions using Machine Learning (ML) and Natural Language Processing (NLP) models and technologies to improve customer experience and drive business results.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Senior Manager role?

Strong candidates will have prior experience as a Senior Manager in Data Science with a track record of researching and building scalable AI solutions using ML and NLP, plus the required degree in a relevant field.

Fidelity Investments

Investment management and financial services provider

About Fidelity Investments

Fidelity Investments offers a range of financial services and tools designed to help individuals manage their investments and stay informed about the markets. Their products include mobile applications and market monitoring tools that provide users with real-time market quotes, news, and trading capabilities. For example, the Fidelity Market Monitor for Glass delivers daily market quotes directly to Google Glass, while the Fidelity app for Windows Phone 8 allows users to access news and trading tools on their mobile devices. Additionally, features like the Watch List Visualization for iPad help users track stock price changes over time using a heatmap. What sets Fidelity apart from its competitors is its focus on integrating new technologies and user-friendly interfaces to enhance the investment experience. The goal of Fidelity Investments is to empower individuals with the information and tools they need to make informed financial decisions.

Boston, MassachusettsHeadquarters

1946Year Founded

$120,238.8MTotal Funding

DEBT_FINANCINGCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Mental Health Support

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Parental Leave

Student Loan Assistance

Tuition Reimbursement

Risks

Loss of key personnel like Gita Bal may impact Fidelity's research capabilities.

Increased competition from Vanguard's new division could draw clients away from Fidelity.

Potential reputational risk from Bitcoin ETF outflows could affect Fidelity's offerings.

Differentiation

Fidelity Labs offers innovative beta products like Market Monitor for Google Glass.

Fidelity's mobile solutions are available on multiple platforms, including Windows Phone and iPad.

Fidelity's Open Limit Order Visualization provides unique insights into order execution proximity.

Upsides

Increased adoption of wearable tech could boost Fidelity's mobile solutions.

Growing interest in Bitcoin ETFs suggests expansion in Fidelity's digital asset offerings.

Rise of AI could benefit Fidelity's data analytics and AI-driven investment strategies.

Land your dream remote job 3x faster with AI

Try Jobo Free