Data Scientist [Multiple Positions Available]
Data Science
New York, NY, USA
USD 160k-170k / year + Equity
DESCRIPTION:
Duties: Study, design, and develop deep learning frameworks for NLP tasks aligned with business requirements. Develop technical solutions utilizing large language models for a variety of problems including content extraction, search and question answering, reasoning and recommendation. Build testing setups to evaluate model performances and ensure the efficacy and reliability of the LLM solutions. Monitor and improve model performance through feedback and active learning. Deliver written, visual, and oral presentation of modeling results to business stakeholders. Collaborate with engineering and product teams to deploy scalable solutions in production. Study scientific articles and research papers to identify emerging and state-of-the-art NLP techniques and discover new approaches.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Business Analytics, Data Science, Computer Science, Machine Learning, Artificial Intelligence, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Machine Learning Engineer, or related occupation.
Skills Required: This position requires three (3) years of experience with the following: Designing AI/ML models for Natural Language Processing (NLP) solutions using programming languages such as Python or Java and Machine Learning libraries and frameworks such as Torch or Huggingface. This position requires one (1) year of experience with the following: Building LLM-based solutions including prompt and context engineering, retrieval augmented generation (RAG), tool calling and agent orchestration; Analyzing financial reports, analysts notes, client communications to extract actionable insights and empower data-driven decision making in financial markets.
Job Location: 390 Madison Ave, New York, NY 10017.
Full-Time. Salary: $160,000.00-$170,000.00 per year.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Study, design, and develop deep learning frameworks for NLP tasks aligned with business requirements.