NLP Data Science Analyst

Fidelity Investments • Boston, MA

1d • $67,000 - $127,000

About The Position

The NLP Data Science Analyst will help shape and improve Fidelity Assistant, an AI-powered customer experience platform, by applying knowledge of brokerage products, customer experiences, and customer insights. The role supports the delivery of new capabilities and improved digital experiences, working with cross-functional teams to translate business needs into actionable product requirements and use data to inform decisions. The analyst also contributes to testing, launches, performance monitoring, production support, and continuous improvement of AI-enabled customer experiences.

Requirements

• Bachelor's degree or higher in Computer Science, Mathematics, Computational Statistics, Computational Linguistics, Machine Learning, or a related technical field.
• 1–3+ years of commercial or academic experience executing or leading work for digital or AI-powered products.
• Proficiency with Natural Language Processing and data science Python modules such as Pandas, spaCy, and NLTK.
• Experience developing, tuning, and evaluating machine learning algorithms, including supervised and unsupervised learning, deep learning, and neural networks.
• Proficiency across the predictive modeling lifecycle, including exploratory data analysis, data cleaning, feature engineering, model building and validation, operationalization, scalability of scientific techniques, and establishing decision strategies.
• Strong proficiency with data analytics and related tools such as SQL, AWS Athena, and Snowflake.
• Ability and willingness to work with third-party ASR and NLU platforms, with an eye toward innovation and augmentation.

Nice To Haves

• Exposure to or experience with AWS Cloud ML or similar platforms.
• Exposure to or experience working with dialog platforms such as DialogFlow or Amazon Lex.

Responsibilities

• Partner with Product, User Experience, Technology, Operations, and Analytics teams.
• Translate business needs and insights into requirements, user stories, acceptance criteria, and prioritized backlogs.
• Use data, customer feedback, and business trends to identify opportunities, prioritize enhancements, and support data-driven decision-making.
• Conduct testing and validation to ensure solutions meet requirements and deliver intended customer and business outcomes.
• Support product launches through readiness activities, content reviews, communications, and educational materials.
• Monitor product performance, measure outcomes, provide ongoing production support, and use insights to drive continuous improvement.
• Leverage and refine AI skills and tools to streamline and perform daily tasks.

Benefits

• Comprehensive health care coverage and emotional well-being support.
• Market-leading retirement benefits.
• Generous paid time off and parental leave.
• Charitable giving employee match program.
• Educational assistance, including student loan repayment, tuition reimbursement, and learning resources.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level