Senior Data Scientist

Actif.ai • Washington, DC

2d • Hybrid

About The Position

We are seeking a Senior Data Scientist to join our team. In this role, you will help envision, design, code, test, and improve the models and algorithms at the core of our business. This role goes beyond building predictive models, you will help define what should be built, measured, how decisions are evaluated, and how learning systems evolve in production.
You will work across modeling, experimentation, and reinforcement-learning–driven decisioning, partnering closely with engineering and product teams to translate data into reliable, high-impact behavior in live applications. As Actifai expands into agent-style decision systems, you will help support the modeling, evaluation, and learning components that inform those systems.
Successful candidates are comfortable operating with autonomy, framing sometimes ambiguous business problems, validating assumptions through data exploration, and balancing statistical rigor with practical product constraints in a fast-moving environment.

Requirements

• 4+ years of experience in applied data science or machine learning
• Strong Python and SQL skills. Comfortable working with large, messy real-world datasets
• Experience developing and evaluating supervised ML models
• Practical experience with experimentation and statistical reasoning
• Familiarity with reinforcement learning or decisioning frameworks
• Demonstrated ability to independently frame problems and drive analysis from ambiguity to impact
• Strong communication skills across technical and business audiences

Nice To Haves

• Experience in telecom, subscription, pricing, churn, or retention analytics
• Exposure to contextual bandits, RL, or policy optimization
• Experience working in multi-client or product-driven analytics settings
• Familiarity with AI agents

Responsibilities

• Frame and measure decision problems
• Translate business asks into clearly defined modeling tasks and evaluation frameworks
• Perform exploratory analysis to assess data quality, label stability, and measurement feasibility before modeling
• Define success metrics, guardrails, and counterfactual approaches
• Identify sources of bias or limitations introduced by product and operational flows, agent behavior, or data collection
• Develop predictive models and decision logic
• Create and maintain training datasets from multiple production data sources
• Engineer and validate features with attention to temporal correctness and leakage
• Train and evaluate supervised learning models for customer decision problems
• Implement and tune decision logic, including contextual bandit / reinforcement learning approaches layered on predictions
• Evaluate model and policy performance through offline analysis and simulation
• Design experiments and evaluate impact
• Design and analyze A/B tests or staged rollouts
• Analyze experimental outcomes and translate results into product decisions
• Diagnose unexpected results, sample issues, or measurement artifacts
• Partner to operationalize and improve systems
• Specify model inputs, outputs, and logging requirements needed for monitoring and evaluation
• Work with engineers to integrate models into live workflows
• Build dashboards to monitor model and decision performance
• Investigate anomalies and recommend system improvements
• Communicate findings and tradeoffs to product, engineering, and client stakeholders

Benefits

• Actifai offers an extremely competitive compensation package, including equity, employer-covered health/vision/dental insurance (with an optional FSA), and 401k matching.
• Employees receive a generous PTO allowance, and can work both remotely and from our office in downtown Washington, D.C.
• Successful candidates will join a small team of ambitious, supportive co-workers with ample opportunities to take on responsibilities beyond their assigned role.

What This Job Offers

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