Data Scientist
LaddersAbout the role
For our client, we are seeking a Data Scientist to join the team of a leader in the Healthcare space.
This role will focus on building predictive analytics solutions that help improve decision-making across data-rich healthcare operations. You will develop and optimize machine learning models, strengthen data pipelines, and translate analytical findings into practical business impact. The position also requires close collaboration with technical and non-technical stakeholders to ensure modeling efforts align with organizational goals.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $110,000 – $117,000 annually
Responsibilities
Develop and optimize machine learning models focused on predictive analytics.
Perform feature engineering to improve model accuracy and efficiency.
Evaluate model performance using metrics such as MAPE and RMSE, then adjust strategies as needed.
Build data pipelines using PySpark, SQL, and cloud solutions for seamless integration.
Leverage integration tools for large-scale data projects.
Utilize data modeling and processing tools to support analytics workflows.
Collaborate with stakeholders to align models with business objectives.
Qualifications
5-7 years of experience in data science and machine learning.
Proficiency in Python, PySpark, and SQL for data analysis and model development.
Expertise in time series forecasting methods such as ARIMA and LSTMs.
Strong experience in data model optimization and evaluation metrics.
Hands-on experience with ETL processes and data pipeline construction using various tools.
Familiarity with cloud platforms, especially Google Cloud services.
Excellent communication skills for collaboration with technical and non-technical teams.
Benefits
Comprehensive healthcare plan starting on day one for full-time teammates.
Educational assistance available for teammates pursuing accredited programs.
Employer-paid life insurance and disability coverage included.
Support for growing families through adoption assistance and parental leave.
Health Savings Account (HSA) and 401(k) options for financial planning.
Generous paid leave policies, including vacation and parental leave.
Well-being resources, including a teammate assistance program and various health resources.
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Develop and optimize machine learning models focused on predictive analytics.
- Perform feature engineering to improve model accuracy and efficiency.
- Evaluate model performance using metrics such as MAPE and RMSE, then adjust strategies as needed.
- Build data pipelines using PySpark, SQL, and cloud solutions for seamless integration.
- Leverage integration tools for large-scale data projects.
- Utilize data modeling and processing tools to support analytics workflows.
- Collaborate with stakeholders to align models with business objectives.
Qualifications
- 5-7 years of experience in data science and machine learning.
- Proficiency in Python, PySpark, and SQL for data analysis and model development.
- Expertise in time series forecasting methods such as ARIMA and LSTMs.
- Strong experience in data model optimization and evaluation metrics.
- Hands-on experience with ETL processes and data pipeline construction using various tools.
- Familiarity with cloud platforms, especially Google Cloud services.
- Excellent communication skills for collaboration with technical and non-technical teams.
Benefits
- Comprehensive healthcare plan starting on day one for full-time teammates.
- Educational assistance available for teammates pursuing accredited programs.
- Employer-paid life insurance and disability coverage included.
- Support for growing families through adoption assistance and parental leave.
- Health Savings Account (HSA) and 401(k) options for financial planning.
- Generous paid leave policies, including vacation and parental leave.
- Well-being resources, including a teammate assistance program and various health resources.
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.