Director, Data Science

Job Description:
Position Description:
Develops supervised and unsupervised Machine Learning (ML) algorithmsregression, decisions trees/random forest, neural networks, feature selection/reduction, clustering, and parameter tuning.
Researches and builds complex, cutting edge and scalable Artificial Intelligence (AI) algorithms, models, platforms, and technologies to improve customer experiences and drive business results.
Drives and oversees projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams.
Primary
Responsibilities:
Analyzes predictive modeling, tuning, operationalization, and scalability of business technologies to inform and establish decision strategies.
Transforms large volumes of data into AI-driven solutions using creative, cutting edge open source methods and technologies.
Identifies and prioritizes top AI opportunities to create business and technical requirements.
Formulates mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
Performs validation and testing of models to ensure adequacy and reformulates models as necessary.
Collaborates with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
Presents the results of mathematical modeling and data analysis to management or other end users.
Sets vision, goals, and direction of team/organization.
Plans and leads organization-wide initiatives.
Identifies and consults with internal and external technical resources to produce cross-company strategic initiatives.
Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
Regularly provides guidance, training, and coaching to other team members for performance and career development.
Identifies and plans for future resource needs.
Determines technical approaches at a strategic level for the business unit.
Education and
Experience:
Bachelor's degree (or foreign education equivalent) in Data Science, 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 building Natural Language Processing (NLP) models in a financial services environment.
Or, alternatively, Master's degree (or foreign education equivalent) in Data Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and two (2) years of experience in the job offered or two (2) years of experience building Natural Language Processing (NLP) models in a financial services environment.
Or, alternatively, a Doctor of Philosophy degree (or foreign education equivalent) in Data Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and no experience.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (DE) performing advanced statistical analysis to develop and evaluate supervised and unsupervised Machine Learning (ML) algorithmsRegression, Decision Trees, Neural Networks, linear and mixed effect models, Feature Selection, Hyper-Parameter tuning, and ranking models; and developing and evaluating supervised and unsupervised ML algorithms using Python and ML libraries - PyTorch, Scikit-Learn, NLTK, and Gensim.
DE building and implementing modern Natural Language Processing techniques (Named Entity Recognition and Knowledge Graph driven methods); and implementing AI technologies within a financial domainportfolio construction, financial statement analysis, and statistical analysis of financial datasets.
DE launching ML and Deep Learning (DL) models to perform data and runtime profiling of solutions and assess the efficacy of ML and AI algorithms (experimental design, A/B testing, performance monitoring, AI fairness evaluation, and bias mitigations) in remote computer servers and online environments.
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#PE1M2Please see below for the salary range for work locations in Colorado only:
N/APlease see below for the salary range for work locations in New York City, Westchester County, NY and Jersey City, NJ only:
N/APlease see below for the salary range for work locations in California only:
N/APlease see below for the salary range for work locations in Washington only:
N/ACertifications:
Company OverviewFidelity 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 UsAt 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 Best Place to Work in 2023.
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.
At Fidelity, our goal is for most people to work flexibly in a way that balances both personal and business needs with time onsite and offsite through what we're calling Dynamic Working.
Most associates will have a hybrid schedule with a requirement to work onsite at a Fidelity work location for at least one week, 5 consecutive days, every four weeks.
These requirements are subject to change.
We invite you to Find Your Fidelity at fidelitycareers.
com.
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 accommodations @fmr.
com, or by calling 800-835-5099, prompt 2, option 3.
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 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.
Recommended Skills A/B Testing Accounting Control Algorithms Artificial Intelligence Artificial Neural Networks Big Data Estimated Salary: $20 to $28 per hour based on qualifications.