DATA SCIENTIST

Svitla Systems Inc. is looking for a Data Scientist for a full-time position (40 hours per week) in Ukraine. The client is a modern mental health care company focused on providing accessible, high-quality therapy services for individuals, couples, and families through both in-person and virtual sessions. Headquartered in San Francisco, California, the company’s mission is to transform the mental health care system by making care more affordable, effective, and sustainable for both clients and providers.

They partner with major insurance providers to make therapy more affordable, with clients typically paying an average of $28 per session with insurance coverage setting a new standard in mental health care by combining clinical excellence, accessibility, and a strong focus on measurable outcomes, making therapy more effective and affordable for a broad population. The company boasts a carefully vetted network of therapists with a diverse range of backgrounds, specialties, and languages to meet the needs of a wide variety of clients. It serves over 33 million covered lives across seven states and is expanding its network to all 50 states.

The team requires a candidate who can design and develop new machine learning models for supply and demand forecasting. The candidate should be able to work independently with the business partners and provide thought leadership to drive innovation. This role requires a strong blend of data science modeling, domain expertise, and the ability to thrive in a fast-paced, pod model.

Tech Stack: dbt, Redshift, Glue, Hex, Tableau, Vertex AI.

Requirements

• 5+ years of experience developing and deploying machine learning models in production.
• Hands-on experience with time series forecasting frameworks (e.g., Prophet, ARIMA, DeepAR, etc.).
• Solid knowledge of Python and ML libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Knowledge of SQL and some familiarity with dbt for data transformations.
  
  

Nice To Have

• Experience with cloud platforms (e.g., AWS, GCP) and MLOps tools (e.g., MLflow, SageMaker, Vertex AI).
• Experience in machine learning/data engineering.
• Prior experience in logistics, e-commerce, healthcare, or manufacturing where supply-demand dynamics are central.
  
  

Responsibilities

• Build and optimize machine learning models for supply and demand forecasting.
• Design robust time series, probabilistic, and deep learning-based forecasting models.
• Own the full lifecycle of modeling from testing, training, to deployment to production.
• Collaborate with data engineers to build and maintain scalable pipelines for data ingestion, feature generation, and inference.
• Ensure data quality and governance best practices are consistently applied across training and production environments.
• Partner closely with Operations and Engineering teams to integrate forecasting models into production reporting.
• Communicate technical results and modeling decisions effectively to non-technical stakeholders.
  
  

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Annual performance appraisals.
• Flexibility in workspace, either remote or in one of our development offices.
• Comprehensive medical insurance including dental and massages.
• Sport reimbursement program for onsite and online activities.
• Support of a healthy lifestyle, compensation for running events.
• Bonuses for recommendations of new employees.
• Bonuses for article writing, public talks, other activities.
• Personal loan budget available for long-term personnel.
• 20 vacation days, 10 national holidays and sick leaves.
• Maternity leave policy and family days off.
• Full compensation for conferences, courses, English classes.
• Free webinars, meetups and conferences organized by Svitla.
• Gifts for New Year, anniversaries, children, and more.
• Fun corporate celebrations and activities, regular lectures on various topics.
• Awesome team, friendly and supportive community!