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Data Analysis
Senior Data Scientist
@BetterHelp
[Hiring] Senior Data Scientist @BetterHelp
Apr 02, 2025 - BetterHelp is hiring a remote Senior Data Scientist. đź’¸ Salary: $170,000 - $200,000 plus performance bonus. đź“ŤLocation: USA.
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Role Description
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.
- 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.
Qualifications
- 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.
Requirements
- You will NOT worry about "runway", "cash left", or "how much time we have until the next round".
- You will NOT be confined to your "job".
- You will NOT be bogged down by office politics, ego, or bad attitude.
- You will NOT get yourself burned out.
Benefits
- Competitive salary & equity compensation
- Excellent health, dental, and vision coverage
- 401k benefits with employer matching contribution
- Unrivaled perks program (including free therapy, UberEats, and more)
- Remote work with regular in-person bonding experiences sponsored by the company
- Office in the heart of downtown Mountain View, a three-minute walk from Caltrain
- Commuter benefits, FSA accounts, and Employee Stock Purchase Programs
- 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
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| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Data Analysis
Data Analysis
|
Salary
đź’¸
$170,000 - $200,000 plus performance bonus
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Apr 02, 2025
|
️
| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
