Senior Data Scientist
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
Very high value due to the potential for significant impact within a growing industry, extensive benefits, and a strong compensation package for experienced candidates.
- Significant compensation potential ($200,000 - $230,000/year)
- Comprehensive benefits covering various aspects of employee wellness
- Opportunities to work at the intersection of AI and finance
- Requires extensive experience (7+ years) which may narrow applicant field
Pros
- High earning potential in a competitive field
- Extensive benefits package that supports professional development
- Opportunity to shape investment strategies using cutting-edge AI
Cons
- Requires advanced experience (7+ years) which can limit applicants
- High expectations for performance in a fast-paced environment
- Possible need for relocation based on hybrid work policy
Who it's for
Senior-level • Hybrid / Onsite
Good fit
- Senior data scientists with financial and analytical knowledge
- Individuals experienced in AI and machine learning applications
- Candidates looking for impactful roles in investment firms
Not recommended for
- Entry-level job seekers
- Individuals without significant AI or finance experience
- Those preferring remote-only roles
Motivation fit
Key skills
About the job
The Senior Data Scientist will be a key member of the Data & Analytics team reporting directly to the Head of Data. This role blends advanced data science and machine learning applications-including statistical modeling, AI frameworks, and predictive analytics with a deep understanding of investment workflows to deliver scalable, explainable, and actionable insights that inform decision-making to support ICONIQ's venture and growth team. What You'll Do Design, validate, and deploy machine learning models to support investment sourcing and portfolio analytics. Build explainable predictive scoring models using tools like SHAP or LIME. Collaborate with investment teams to develop data solutions that drive high-impact decisions. Improve data quality through enrichment, cleaning, and backfilling using statistical methods. Apply statistical modeling techniques including regression, clustering, and time-series analysis. Build reproducible ML workflows with robust documentation for long-term maintainability. Deploy and optimize AI/ML pipelines (eg, retrieval-augmented generation, vector databases) for research and analysis. Explore AI copilots and automation tools to enhance productivity across teams. Ideal Candidate Background 7+ years of experience in data science, machine learning, or a related field. Deep expertise in applied statistics, including optimization, regression, and Monte Carlo methods. Proficient in Python and ML libraries such as PyTorch or TensorFlow. Experienced with SQL and cloud-based data workflows. Familiar with AI/ML frameworks like OpenAI SDK, LangChain, or LlamaIndex. Bonus : Experience with graph-based tools (eg, NetworkX, Neo4j) and survival analysis. Strong communication skills with the ability to translate data into actionable insights. Background in finance, private equity, or trading environments is a plus. Passionate about mentoring others and fostering a collaborative team culture. What We Offer Comprehensive Medical, Dental and Vision Insurance. Life and disability insurance coverage as well as family and wellness benefits including mental health benefits, fertility benefits, and back-up childcare. A matching 401(k) program. Commuter Benefits program. Stipends to support wellness and hybrid working arrangements. We support employees who wish to pursue professional designations/certifications and offer tuition reimbursement in addition to an allocation for books and other supplies needed for an individual's coursework. Smart-casual dress code. Location Applicants are expected to work onsite in our New York City or San Francisco office in accordance with our hybrid working policy. Compensation Range ICONIQ is required by law to include a reasonable estimate of the salary range for this role. There are several factors taken into consideration in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At ICONIQ, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation terms. A reasonable estimate of the current salary range is $200,000-230,000 together with the benefits listed above. About ICONIQ ICONIQ is a global investment firm elevated by an extraordinary community. With over $80B assets under management, we seek to build resilient investment portfolios, partner with inspired entrepreneurs transforming industries, manage our clients' lives and legacies, and create uncommon opportunities across sectors and society. Equal Employment Opportunity Statement We recognize that our people are our greatest strength, and the diverse skills and perspectives they contribute are integral to our success as a global organization. As an equal opportunity employer, we are deeply committed to fostering diversity and inclusion across our company. We do not tolerate discrimination based on any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. Additionally, we provide reasonable accommodations to support applicants and employees with religious practices, mental health needs, physical disabilities, or other conditions requiring support. When you submit a job application as a prospective employee ( your or your ) of ICONIQ Capital LLC ( ICONIQ, we, us, or our ), we or our service providers may collect, use, disclose and otherwise process personal information about you. Personal information collected by the Greenhouse portal is subject to the Greenhouse's privacy policy, available here [ https ://www.greenhouse.com/privacy-policy ] and ICONIQ's Privacy Policies available here [ https ://www.iconiqcapital.com/privacy-policies ].

