*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

JOB TITLE- Senior Data Scientist

Fidelity Workplace Investing is seeking a Data Scientist with a Master’s degree in a quantitative or computational field such as Statistics, Operations Research, Computer Science, Data Science, Machine Learning, Economics, Business Analytics, or Applied Mathematics, with 4+ years of relevant industry or research experience, OR a PhD degree in similar fields with 2+ research or industry experience.

The Purpose of Your Role

The functions of this role include applications of data science and advanced analytics for improving Fidelity’s products and services to meet the needs of Workplace Investing clients and participants. The successful candidate will work primarily with senior, principal, and lead data scientists, product, marketing, finance, and technology teams across the firm. The assignments will include gathering internal and external data from multiple sources including surveys and data warehouses, data processing, exploratory data analysis, predictive analytics, unstructured data mining, prescriptive analytics, interpretation of findings, and presentation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a small, high performing work environment and acts with confidence to communicate to all levels of Workplace Solutions as well as associates and management from other business units.  The ideal Data Scientist for this role should demonstrate a solid level of data science, statistical, and machine learning knowledge as well as experience with data science systems and processes. I.e., they can gather the data (survey or data warehouse, structured or unstructured) in any shape and size using any programming languages necessary, process the data, analyze them graphically and statistically, develop and execute statistical, econometric, machine learning, and other artificial intelligence approaches, draw interesting and unique insights into the business, package the information into meaningful and effective presentations, and finally be able to present to technical and non-technical audiences.

The Skills You Bring

• Data extraction and feature engineering skills for extracting, processing, and transforming big and small data into meaningful features for machine learning models.  Some experience in summarizing the data into meaningful reports showing multivariate relationships among the features in the data.  Proficient in SQL and at least one major relational database management system.
• Statistical and data science programming with proficiency in Python (Anaconda, 3.0+) and common machine learning libraries.  Able to develop organized, intuitive, and documented code in Jupyter and/or an IDE.  Experience with R also preferred but not required.  Some experience in training regression and classification models using typical ML algorithms and creating clear model documentation (features of importance,  algorithms and model accuracy).  
• Knowledge of most of the following quantitative fields: Econometric Time Series Analysis, Analysis of Survey Data, Advanced Statistical Modeling, Machine Learning & Artificial Intelligence, Causal Inference & Program Evaluation, Bayesian Network, Uplift Modeling, Recommender System, Text Mining & Natural Language Processing, Behavioral Economics, Design of Experiment, Mathematical Programming, Multi-Objective Optimization, Decision Theory, Stochastic Optimization, Reinforcement Learning, Monte Carlo Simulation, and Bayesian Statistics
• Exploratory data analysis and statistical graphics
• Experience in Big Data technologies such as Snowflake, Sagemaker, Hadoop, MapReduce, and/or other cloud-based data science platform
• Advanced Excel and PowerPoint skills
• Knowledge of business fields, social sciences, or health sciences a plus, such as Marketing, Finance, Economics, Survey Research, Accounting, Psychology, Management, Epidemiology, Bioinformatics, Health Economics, and Health Policy & Management
• Highly meticulous with proven ability to ensure quality of complex data and analysis
• Ability to pick up new knowledge fast and enthusiastic about continuous learning
• Solid verbal and written communication skills, including the ability to interact with various levels of management from different functions
• Be proactive and takes initiatives; thinks creatively, drives projects to completion and insists on the highest level of quality

The Value You Deliver

• Intelligently applying data science and advanced analytics to support customer needs, improve customer experience, develop new products, and support marketing, sales & technology for Workplace Solution products
• Proactively identifying business opportunities and solutions
• Gathering internal and external data (structured or unstructured) from multiple sources using any programming languages necessary
• Processing and analyzing big and complex data as well as unstructured data
• Researching cutting-edge techniques, tools, and systems
• Deriving and implementing best approaches for predictive and prescriptive analytics
• Interpreting results and drawing key business insights from advanced quantitative analyses
• Presenting to broader audience and senior management
• Acquiring or developing innovative methodologies

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.