Senior Data Scientist, Forecasting

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As a Senior Data Scientist at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

BetterHelp is seeking a Senior Data Scientist with deep expertise in financial forecasting and time series analysis. In this role, you will work closely with cross-functional teams to develop predictive models, generate insights from complex datasets, and provide actionable recommendations that drive business strategy. You will lead efforts to build scalable, high-impact models that forecast financial performance, identify key trends, and uncover patterns within financial data. Your work will directly influence decision-making processes and business outcomes.

What will you do?

• Develop and refine predictive models for financial forecasting, including revenue projections, cash flow predictions, and budget forecasting.
• Use time series analysis techniques (e.g., ARIMA, Prophet, LSTM) to build models that predict financial metrics and trends.
• Integrate macroeconomic and financial market data to enhance forecasting accuracy and account for external market factors.
• Analyze historical financial data to identify trends, seasonality, and anomalies.
• Collaborate with business leaders to interpret data insights and provide strategic recommendations for growth and risk management.
• Create visualizations and dashboards to communicate complex insights in an accessible and actionable manner.
• Continuously improve and optimize forecasting models to enhance accuracy and reliability.
• Scale models for deployment in a production environment, ensuring that they are both efficient and effective.
• Work closely with financial analysts, business stakeholders, and data engineers to ensure alignment on business objectives and data requirements.
• Mentor junior data scientists and help foster a culture of data-driven decision-making across the organization.
• Stay up-to-date with the latest developments in machine learning, time series forecasting, and financial modeling.
• Contribute to the research and development of new techniques and methodologies in financial analysis.

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Requirements

• Master’s or Ph.D. in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• 5+ years of experience in data science, with at least 3 years focused on forecasting or time series analysis.
• Strong background in building and deploying machine learning models, especially in financial contexts.
• Proficiency in SQL, Python or R, with experience using libraries such as Pandas, NumPy, StatsModels, Scikit-learn, TensorFlow, or Keras.
• Solid understanding of time series analysis techniques, including ARIMA, exponential smoothing, and machine learning methods like LSTM, XGBoost, etc.
• Strong communication skills, with the ability to present technical findings to non-technical stakeholders.
• Familiarity with financial metrics and KPIs is a bonus.

Benefits

• Remote work with regular in-person bonding experiences sponsored by the company
• Competitive compensation
• Holistic perks program (including free therapy, employee wellness, and more)
• Excellent health, dental, and vision coverage
• 401k benefits with employer matching contribution
• The chance to build something that changes lives – and that people love
• Any piece of hardware or software that will make you happy and productive
• An awesome community of co-workers

The base salary range for this position is $170,000 - $200,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.