Data Scientist Job at Fidelity TalentSource LLC, Boston, MA

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  • Fidelity TalentSource LLC
  • Boston, MA

Job Description

Job Description:

Position Description :\u00A0

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Researches and develops Machine Learning (ML) models that identify suspicious transactions and customers using Artificial Intelligence (AI) and ML-based systems. Programs and develops computer systems with Python and SQL. Researches, develops, and delivers models to detect suspicious activity within typologies that include, but are not limited to, cryptocurrency trading, cryptocurrency receipt/delivery, market manipulation (equities, options, and cryptocurrencies), securities fraud, insider trading, elder financial exploitation, and money-laundering and terrorist financing domains\u00A0

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Primary Responsibilities: \u00A0

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  • Performs exploratory analysis, data cleaning, preparation and annotation, ML pipeline design and development, model evaluation, and validation.\u00A0\u00A0

  • Develops models using supervised and unsupervised ML algorithms.\u00A0

  • Develops models using algorithms, such as decision trees, isolation forests, autoencoders/neural networks, linear/logistic regression, and clustering.\u00A0\u00A0

  • Develops models that operate on both structured and unstructured data (Natural Language Processing).\u00A0

  • Analyzes and preprocesses features for model training.\u00A0

  • Collaborates with team to assess project scope, define data requirements, prioritize tasks, and share research findings and updates.\u00A0

  • Researches new techniques and technologies to improve team knowledge and enhance solutions.\u00A0

  • Creates presentations to provide team updates on project progress, research, and new findings.\u00A0

  • Participates in code reviews to enable learning, collaboration, and mentoring of other team members.\u00A0

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Education and Experience :\u00A0

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Master s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and no experience.\u00A0

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Skills and Knowledge :\u00A0

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Candidate must also possess:\u00A0

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  • Demonstrated Expertise (\u201CDE\u201D) performing with complex SQL queries to extract features from SQL databases; using Python language for typical DS workflow steps -- data preprocessing, regression, decisions trees/random forest, neural network, feature selection/reduction, clustering, and parameter tuning.\u00A0

  • DE developing data pipelines on Amazon Web Services (AWS) using S3 storage services and EC2 Cloud computing services; performing supervised and unsupervised modeling on tabular data in Python, using DS libraries (Pandas, NumPy, SciPy, and Scikit-Learn); training models on imbalanced datasets using python libraries (IMBlearn); creating data visualizations to analyze and evaluate model results, using Python libraries (Matplotlib and Seaborn).\u00A0

  • DE developing classification models on text data, using Spacy, NLTK, Tensorflow, Pytorch, and BERT frameworks.\u00A0

  • DE communicating and collaborating across teams to break down complex business problems, translate into ML projects, and deliver data products and insights for productization, using collaboration tools (JIRA).\u00A0

#PE1M2\u00A0

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 , 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. 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, , 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

[email protected]

.

Job Tags

Work from home, Flexible hours,

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