Sr Data Scientist

Learning Care Group, Inc.; United States; On-site; USD 125,000 - 145,000; Full time

Benefits offered by this job

Education assistance

Childcare discounts

Corporate partner discounts

Flexible PTO

Job summary

Learning Care Group, Inc. is seeking a Senior Data Scientist to lead experimentation and decision science initiatives that inform key business decisions.

You will partner with stakeholders to design, execute, and evaluate experiments, translate questions into testable hypotheses, and deliver actionable insights. You will independently drive analytics projects from problem definition to measurement and recommendation, using robust frameworks for treatment and control and communicating results for

Qualifications

• Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or related field with 2–4 years of experience; or Bachelor’s with 4–6 years in experimentation and data science/advanced analytics.
• Statistical and inferential analyses (advanced/expert level knowledge).
• A/B testing and experimentation (advanced/expert level knowledge); SME on sample sizing, market selection, creating matched controls using R or Python.

Responsibilities

• Lead end-to-end experimentation and decision science projects, framing business questions and communicating results.
• Design, execute, and analyze experiments including A/B tests and causal studies.
• Advise partners on sample sizing, power analysis, treatment/control selection, and measurement plans.
• Develop matched-control methodologies and statistical frameworks using Python, R, SQL.
• Apply advanced statistical techniques and machine learning to support decisions.
• Translate business challenges into analytical solutions with measurable outcomes.
• Communicate findings clearly to technical and non-technical audiences; outline risks and actions.
• Build repeatable analytical workflows and maintain high standards for code quality and reproducibility.
• Provide guidance to analysts and junior data scientists on experimental design and methods.
• Contribute to experimentation and decision science best practices within the organization.

Skills

Statistical analysis

A/B testing

Experiment design

Matched controls

Regression modeling

Machine learning

Python/PySpark

R

SQL

Communication

Education

Master’s degree in Data Science/Statistics/CS/Engineering/Math

Bachelor’s degree with 4–6 years in experimentation/data science

Tools

Python

PySpark

R

SQL

Job description

We are seeking a highly analytical and results-oriented Senior Data Scientist to drive experimentation and decision science initiatives that inform key business decisions. This role will partner closely with business stakeholders to design, execute, and evaluate experiments, apply advanced statistical and causal inference methods, and deliver actionable insights that improve business outcomes.

As a senior individual contributor, you will independently lead analytics projects from problem definition through measurement and recommendation. You will help translate business questions into testable hypotheses, create rigorous treatment and control frameworks, and communicate results in a way that enables confident decision-making.

Key Responsibilities

• Lead end-to-end experimentation and decision science projects, from framing business questions through communicating results and recommendations.
• Design, execute, and analyze experiments, including A/B tests, quasi-experiments, matched-market tests, and causal inference studies.
• Advise business partners on experimental design, sample size determination, power analysis, treatment and control selection, and measurement plans.
• Develop matched-control methodologies and statistical frameworks using Python, R, SQL, and other analytics tools.
• Apply advanced statistical techniques, regression modeling, predictive analytics, and machine learning whereappropriate tosupport business decisions.
• Partner with stakeholders to translate business challenges into analytical solutions and measurable outcomes.
• Communicate findings clearly to technical and non-technical audiences, including practical implications, risks, limitations, and recommended actions.
• Build repeatable analytical workflows andmaintainhigh standardsfor code quality, reproducibility, and documentation.
• Providetechnical guidance and support to analysts and junior data scientists on experimental design and statistical methods.
• Contribute to experimentation and decision science best practices within the analytics organization.

Required Qualifications

• Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field with 2–4 years of experience; or Bachelor’s degree with 4–6 years of experience in experimentation (mandatory), and data science or advanced analytics.
• Statistical and inferential analyses (advanced/expert level knowledge)
• A/B testing and experimentation (advanced/expert level knowledge)
  • SME on sample sizing, market selection, creating matched controls using tools like R or Python
• Regression and predictive modeling
• Machine learning methods (supervised and unsupervised)
• Big data analysis (e.g., distributed computing, PySpark)
• Proven experience delivering experimentation and decision science projects end-to-end, including scoping, execution, stakeholder engagement, and presenting results.
• Proficiency in Python/PySpark, R, and SQL.
• Strong business acumen with the ability to connect analytical work to strategic and operational outcomes.
• Excellent communication skills, with demonstrated ability to influence senior partners and simplify complex concepts.

What We’re Looking For

A hands-on data scientist with strong expertise in experimentation, causal inference, and statistical analysis. The ideal candidate combines technical rigor with business curiosity and can independently translate business questions into testable hypotheses, robust experiments, and actionable recommendations. They are comfortable working cross-functionally, communicating findings to non-technical audiences, and driving measurable business impact through data-driven decision-making.

Compensation and Benefits:

• Compensation based on position, education and experience. Bi-weekly paid.
• Base salary range: $125-145k.
• This position is eligible for our Support Central bonus program which is based on annual achievement of company performance.

Health and Wellness Benefits:

• Employees are eligible for a variety of health and welfare benefits based on their Full-time or Part-time status on their date of hire, which include medical, dental, vision, healthcare & dependent care flexible spending accounts (FSAs), life insurance, disability, accident, critical illness, hospital indemnity, pre-paid legal, pet insurance and identity theft protection.
• Employees are eligible to participate in our 401(k) retirement plan after 30 days of employment. Participating employees are also eligible to receive a company provided match on their elective deferrals once they reach 1 year of employment with the company.

Employee perks/discounts:

• Education assistance including tuition reimbursement
• Childcare discount available to all employees
• Corporate partner Discounts
• This position is eligible for paid time off. All Corporate employees are enrolled in our Flexible Paid Time Off (PTO) plan. This plan allows for flexibility and discretion between employees and managers in taking time off - with no set accrual for vacation or sick time. Employees can use Flexible PTO for any reason and is compliant with the Colorado Healthy Families Work Act.
• Applications accepted through 9/18/2026.