Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

The Data & Analytics team builds and manages data systems, analyzes information to generate insights, and develops machine learning models to support automated decisioning. As a Data Scientist and Machine Learning Engineer, you will work across (and connect) the expertise of these two related but distinct disciplines. Your responsibilities will include (but not be limited to): deriving data insights to drive decision making, applying ML and modeling techniques to solve business problems, and deploying and managing those models in production.

This role reports to the Director of Business Intelligence.

What You’ll Do

Translate complex business problems into data, modeling, and machine-learning solutionsCollect, clean, transform, and validate data for analysis and model developmentExplore data to identify patterns, trends, anomalies, and actionable insightsDesign, train, evaluate, and refine predictive or optimization modelsSelect appropriate features, algorithms, metrics, and validation strategiesBuild reproducible data and machine-learning pipelinesDeploy models for batch or real-time inferenceDevelop and maintain infrastructure for reliable model servingMonitor model performance, data quality, drift, latency, and operational healthCommunicate findings and collaborate with stakeholders, engineers, and domain expertsActively models and promotes Identity Digital’s core values through day-to-day interactions, behaviors, and decision-makingOther duties as assigned

3+ years of experience in developing, deploying, and monitoring production data / ML pipelinesBachelor’s Degree in Mathematics, Computer Science, Data Science, Engineering or other quantitative field is required; Advanced degree (Masters or PhD) in AI/ML preferredDeep technical knowledge in several of the following topics: anomaly detection, time-series analysis, structured and unstructured data processing, causal inference, reinforcement learning, embeddings and vector databases, large language models, and modern MLOps / LLMOps practicesProfessional development experience with the following tools and platforms: Airflow, Argo Workflows, cloud data warehouses (BigQuery, Databricks, Snowflake), major cloud providers (AWS, GCP), Git, Kubernetes, MLFlow, Pandas, Polars, PyTorch, TensorFlow, SHAP and leveraging AI / LLMs.Strong programming proficiency in Python and SQL; familiarity with Shell scripting is a plusExceptional problem-solving skills with the ability to diagnose and resolve issues from limited or ambiguous informationCreative and strategic thinker with a strong analytical foundation and a focus on measurable impactCollaborative communicator who excels in cross-functional environments and builds strong working relationshipsHighly organized with excellent time management, attention to detail, and execution disciplineKnowledge of the domain name industry or digital identity ecosystem is a plusAbility to travel as neededAbility to work across time zones as part of a global organization as neededReliable transportation to the workplace

Physical Requirements

Prolonged periods of sitting at a desk and working on a computerMust be able to lift up to 15 pounds at times, Senior (5+ years of experience)

Tagged as: Business Intelligence, Data Warehouse, Industry, Language Modeling, NLP, United States

The U.S. base salary range for this full-time position is $107,000 - $139,000 (flexibility based on experience) plus benefits as described below. In addition, the successful candidate will be eligible to receive other compensation from time to time in the form of discretionary and/or nondiscretionary bonuses and long-term incentive plan. Actual compensation will be influenced by a candidate’s qualifications, internal employee equity considerations, and location. We will not ask for information about a candidate’s current or past compensation for purposes of developing an offer of employment.

US team members (and their spouses, domestic partners, and/or dependent children) are covered by generously subsidized medical, dental, and vision insurance which includes company contributions to a Health Savings Accounts. Team members are also covered by company-paid life and disability insurance and have the option of participating in employee-paid supplemental life, accidental death and dismemberment, critical illness, and accident insurance. In addition, team members can enroll in the company’s 401(k) plan with up to a 5% match. You receive 15 days of paid vacation yearly, increasing to 20 days after one year. Additionally, you get 5 days of paid sick leave, 13 paid holidays, and 20 weeks of paid parental leave for birthing parents, 12 weeks for others. Also, there’s an opportunity for tuition reimbursement for qualifying expenses.

Note: Benefits programs are subject to eligibility requirements and may vary in certain locations.

A few things to know about us

Identity Digital is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, age, national origin, veteran status, marital status, sexual orientation, gender identity, disability or any other category prohibited by local, state or federal law. This policy applies to all aspects of employment, including recruitment, placement, promotion, transfer, demotion, compensation, benefits, social and recreational activities, and termination.

Background Check Statement

At the time of an offer, you will be required to complete a background check. Any offer is contingent upon a satisfactory background check.

Sponsorship Statement

Please note that work sponsorship for this position may not be available now or in the future. While we strive to support our candidates, not all roles will qualify. Eligibility will be reviewed on a case-by-case basis.

Accommodation Statement

Identity Digital Inc.