Data Scientist

Sotalent; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Sotalent, a mission-driven telehealth startup, seeks a talented Data Scientist to help transform access to evidence-based medical treatments. This full-time remote role within the United States reports to the Senior Director of Data and offers a ground-floor opportunity to shape ML and experimentation culture.

You will develop predictive models for clinical capacity forecasting and patient retention, collaborate with analytics engineers to productionize pipelines using BigQuery and dbt, and

Qualifications

• 3–5 years of applied data science with a focus on statistics and ML.
• Proficiency in Python ML stack: pandas, scikit-learn, XGBoost.
• Familiarity with optimization / scheduling and resource allocation.
• Ability to translate technical findings into business narratives for stakeholders.
• Healthcare or fintech regulatory experience is highly preferred; HIPAA knowledge is a plus.

Responsibilities

• Build and deploy models for clinical capacity forecasting and risk prediction.
• Design and analyze experiments to determine true causal impact.
• Collaborate with engineering to productionize models using BigQuery and dbt.
• Translate operational questions into rigorous mathematical analyses.
• Partner with clinical and commercial leaders to identify growth opportunities.
• Serve as the internal expert for machine learning and statistics.

Skills

Experience in data science

Python ML stack

Pandas

scikit-learn

XGBoost

Operations research / optimization

Communicating insights to non-tech

Healthcare/fintech regulatory exposure

HIPAA knowledge

Tools

BigQuery

dbt

Job description

Seeking a talented Data Scientist for a pioneering venture backed telehealth startup focused on transforming accessibility to evidence based medical treatments. This organization is a mission driven group of clinicians and researchers dedicated to solving one of the most significant public health challenges today through a remote care platform.

This is a full time remote position within the United States reporting to the Senior Director of Data. As the first dedicated data scientist in the company you will have a unique opportunity to shape the machine learning and experimentation culture from the ground up. You will work alongside analytics engineers to bridge the gap between initial modeling and full scale production.

The role involves developing predictive and statistical models to guide clinical and business strategy. You will tackle complex problems including demand and capacity forecasting, patient retention risk, and NLP for clinical documentation. The team utilizes an agile methodology and values data driven decision making across all departments.

Primary Responsibilities

• Build and deploy models for clinical capacity forecasting and risk prediction.
• Design and analyze experiments to determine true causal impact.
• Work with engineering to move models into production pipelines using tools like BigQuery and dbt.
• Translate vague operational questions into rigorous mathematical analyses.
• Partner with commercial and clinical leaders to identify growth opportunities.
• Act as the internal subject matter expert for machine learning and statistics.

Required Skills and Experience

• Three to five years of experience in applied data science with a focus on statistics and machine learning.
• Advanced proficiency in Python specifically the ML stack including pandas scikit learn and XGBoost.
• Familiarity with operations research or optimization such as scheduling and resource allocation.
• Enthusiasm for using AI augmented workflows to accelerate research and coding.
• The ability to translate technical findings into actionable narratives for non technical stakeholders.
• Experience working in a regulated environment such as healthcare or fintech is highly preferred.
• Knowledge of healthcare regulations like HIPAA and an understanding of health outcomes is a plus.

The company values transparency and uses a first and best offer approach to ensure pay equity across the organization.