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    Senior Manager, Data Science - Jersey City, United States - Fidelity TalentSource LLC

    Fidelity TalentSource LLC
    Fidelity TalentSource LLC Jersey City, United States

    3 weeks ago

    Fidelity TalentSource LLC background
    Description



    Job Description:

    Position Description:

    Deploys Machine Learning (ML) pipelines and supports solution integration using end-user applications. Extracts data from a variety of sources, sizes, formats, and access methods and transforms data into business-informed features and model-ready data sets. Develops ML models into usable and consumable states. Works on projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams using Python, Spark, SQL, EMR, Sagemaker, Snowflake, ModelOp, and Tableau. Builds scalable Artificial Intelligence (AI) and ML algorithms, including deep learning and reinforcement learning to improve customer experiences and drive business results.

    Primary Responsibilities:

    • Balances hands-on coding and modeling activities, solution design, and leadership of resources and stakeholders.
    • Leads multiple, concurrent initiatives.
    • Delegates work and provides mentorship to junior team members.
    • Researches and recommends emerging and new/enhanced algorithms.
    • Presents modeling decisions and rationale to stakeholders.
    • Executes opportunities to enhance scale by developing reusable components and capabilities.
    • Observes the current system in operation and gathers and analyzes information about each of the parts of component problems.
    • Designs, conducts, and evaluates experimental operational models in cases where models cannot be developed from existing data.
    • Producing and disseminating non-technical reports that detail the successes and limitations of each project.
    • Developing and implementing data quality and governance processes.
    • Develops artifacts, diagrams, and supporting materials for initiatives.

    Education and Experience:

    Bachelor s degree (or foreign education equivalent) in Data Science, Computer Science, Computational Statistics, Operations Research, Engineering, Information Technology, Information Systems, or a closely related field and five (5) years of experience as a Senior Manager, Data Science (or closely related occupation) building AI/ML models in a financial services environment.

    Or, alternatively, Master s degree (or foreign education equivalent) in Data Science, Computer Science, Computational Statistics, Operations Research, Engineering, Information Technology, Information Systems, or a closely related field and two (2) years of experience as a Senior Manager, Data Science (or closely related occupation) building AI/ML models in a financial services environment.

    Or, alternatively, PhD (or foreign education equivalent) in Data Science, Computer Science, Computational Statistics, Operations Research, Engineering, Information Technology, Information Systems, or a closely related field and no experience.

    Skills and Knowledge:

    Candidate must also possess:

    • Demonstrated Expertise (\u201CDE\u201D) improving financial planning, advice offerings, and recommendations while liaising with business, product, and engineering stakeholder teams to assess the validity of ML models, using experimentation design; and communicating revenue or cost saving benefits to senior leadership, using business intelligence tools -- Seaborn, Plotly, Tableau, and Excel.
    • DE developing and supporting business critical applications within a financial services and asset management compliance, risk, and trading environments, using Python, Amazon Sagemaker, and Tableau; triaging and addressing production incidents to mitigate business impact and identify root cause, using Datadog, CloudWatch logs, and capacity reports; performing data analysis and modeling -- logical and physical -- using Oracle SQL developer data modeler; and performing data visualization and KPI dashboard development, using Tableau and Python libraries -- Pandas, Matplotlib, Seaborn, and Plotly.
    • DE analyzing large data sets to gather insights, develop new processes, perform calculations, identify anomalies, and produce new reporting capabilities; traversing and extracting data from data-base schemas across diverse content sets, using SQL; and delivering data visualizations using R and Python.
    • DE developing ML models, feature engineering, data pipelines, training data, testing, and validation, using Python and Amazon Web Services (AWS) framework.

    [Expertise may be gained during graduate program].

    Salary:\u00A0 $163,238.00 \u00A0- $173,238.00 /year.

    #PE1M2



    Certifications:

    Company Overview

    Fidelity 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 Us

    At 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 top 10 Best Place to Work in 2024. And you don t need a finance background to succeed at Fidelity\u2014we offer a range of opportunities for learning so you can build the career you ve always imagined. Fidelity's working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).

    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,

    detailed in this document, 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.

    We invite you to Find Your Fidelity at

    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

    , or by calling , prompt 2, option 3.
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