Job Description

About the role

We are seeking a Mid-Level Data Scientist to lead the design, development, and deployment of advanced analytical and machine learning solutions across Wolfe Research’s data ecosystem. This role is highly technical and hands-on, requiring deep expertise in predictive modeling, NLP, large language model workflows, cloud-based ML systems, and production-grade data science engineering.

You will work on high-impact initiatives spanning structured and unstructured financial data, internal research content, alternative data, and AI-powered applications. The ideal candidate is equally comfortable building statistically rigorous models, designing scalable ML pipelines, productionizing models in the cloud, and partnering with engineering, product, and business stakeholders to deliver measurable outcomes.

*This role is required 3 days in office*  

Key Responsibilities

• Build and deploy end-to-end machine learning and data science solutions, from data preparation through production implementation and monitoring.
• Develop predictive, statistical, and NLP models using internal and external datasets, leveraging transformer-based architectures and PyTorch for advanced language and machine learning applications.
• Partner with stakeholders to define use cases, scope projects, and translate business needs into technical solutions.
• Create Proof of Concepts and production-ready workflows that integrate with internal platforms and user processes.
• Work with engineering teams to productionize models through APIs, pipelines, and cloud-based deployment patterns.
• Implement data validation, model evaluation, monitoring, and documentation best practices.
• Contribute to AI-enabled products involving search, classification, extraction, summarization, and analytics.

Qualifications

• Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative field.
• 4–5+ years of experience in data science, machine learning, or advanced analytics.
• Strong experience delivering end-to-end data science projects in production environments.
• Strong proficiency in Python and SQL .
• Experience with machine learning frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow .
• Experience with NLP / LLM workflows , including text analytics, retrieval, classification, or transformer-based models.
• Familiarity with cloud platforms such as Azure
• Experience with CI/CD, version control, and working in Agile environments.
• Strong communication skills and the ability to work across technical and non-technical teams.

  Preferred Experience

• Experience with financial data
• Experience with SQL Server, CosmosDB, or modern data pipelines.
• Experience deploying models into production and supporting ongoing model performance and monitoring.

At Wolfe Research we feel passionately about equal pay for equal work and pay transparency is an integral practice for that. The compensation for this role is market competitive with a base salary range of $140,000-$165,000. We intend to offer the selected candidate a base salary within this range, based on non-discriminatory factors including but not limited to skill set, job-related experience, and location. In addition, we offer an annual discretionary incentive bonus and competitive employee benefits including: medical, dental and vision coverage; life, accident and disability insurance. Wolfe also offers paid time off packages that include vacation, sick days/leave, paid holidays and paid parental leave.

About Wolfe 

Wolfe Research, LLC is a premier independent sell-side research firm with a commitment to best-in-class content and ongoing strategic growth. We produce the most objective and distinguished research across our covered sectors, and deliver our services with intense care and specificity to each of our institutional clients. We strive for excellence in every facet of our business, and we will continue to differentiate ourselves by maintaining the highest standards for effort, client service, thoughtfulness, and integrity. Wolfe remains committed to providing a home for the top-ranked, most innovative and inspired analysts and sales people, and places significant emphasis and resources on mentoring talent.

The firm has established a leading reputation for sector and macro research. Our QES product provides leading stock selection models, cutting edge portfolio analytics and hedging tools, highly ranked ESG product, and back-tested alternative data. Wolfe Research’s analysts were voted #6 on a weighted basis for equity research during 2024 by institutional clients in the prestigious “Extel” (formerly Institutional Investor) All-America Research Poll, trailing only significantly larger bulge bracket firms, who have historically not been viewed as our peers.

We strive for excellence in every facet of our business, and we will continue to differentiate ourselves by maintaining the highest standards for effort, client service, thoughtfulness, and integrity. Wolfe remains committed to providing a home for the top-ranked, most innovative and inspired analysts and sales people, and places significant emphasis and resources on mentoring talent.

Wolfe Research recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity or sexual orientation, disability, age, citizenship or other characteristics. At Wolfe Research, we strive to be the place where a diverse mix of talented people want to come, to stay and do their best work. We pride ourselves on bringing integrity and objectiveness to our research process and we know our company’s biggest strength is the hard work, collaboration and diverse views and opinions of our passionate and creative employees. We are fully focused on equality and believe deeply that diversity of race, gender, sexual orientation, religion, ethnicity, national origin and all the other fascinating characteristics that make us different, also make us stronger.

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