Commercial Data Scientist

Ladders; United States; Remote; USD 119,000 - 173,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Flexible paid time off and company‑hol

Paid parental leave

Professional development and learning

Wellness resources

Remote work support and home office</n

Job summary

The Ladders seeks a Commercial Data Scientist to turn complex data into actionable insights that guide commercial decisions and product strategy. You will partner with Product, Data, Insights, and Sales to analyze customer and behavioral patterns at scale, build reusable data products, and automate analyses to move quickly in a high‑velocity environment.

Remote US-based role with a competitive compensation package and opportunities to influence strategy across consumer technology initiatives.

Qualifications

• 4+ years of experience as a Data Scientist or in a similar role working with complex datasets.
• Experience in data science consulting at firms such as ZS, IQVIA, or BlueMatter.
• Advanced knowledge of statistical concepts, including experimental design and probability.
• Proficiency in modern machine learning techniques and model design using PyTorch or TensorFlow.
• Strong SQL skills for writing and optimizing complex queries.
• Advanced Python skills, including object-oriented programming and data science libraries.
• Strong data visualization skills with the ability to translate technical insights into clear narratives.

Responsibilities

• Deliver impactful data insights leveraging machine learning and AI
• Collaborate with Product, Data, Insights, and Sales teams on client analyses
• Develop data products and automate code for reuse across projects
• Analyze large datasets to identify behavioral patterns among professional users
• Adapt quickly in a fast-paced environment to meet client needs

Skills

SQL

Python

Machine learning

Data visualization

Statistical concepts

Experiment design

Probability

Tools

PyTorch

TensorFlow

Job description

For our client, we are seeking a Commercial Data Scientist to join the team of a leader in the Consumer Technology space.

This role will focus on turning complex data into actionable insights that support commercial decisions and product strategy. You will partner closely with Product, Data, Insights, and Sales teams to analyze customer and behavioral patterns at scale. The position also involves building reusable data products and automating analyses to help the organization move quickly in a fast-paced environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $119,333 – $172,800 annually

Responsibilities

• Deliver impactful data insights leveraging machine learning and AI
• Collaborate with Product, Data, Insights, and Sales teams on client analyses
• Develop data products and automate code for reuse across projects
• Analyze large datasets to identify behavioral patterns among professional users
• Adapt quickly in a fast-paced environment to meet client needs

Qualifications

• 4+ years of experience as a Data Scientist or in a similar role working with complex datasets
• Experience in data science consulting at firms such as ZS, IQVIA, or BlueMatter
• Advanced knowledge of statistical concepts, including experimental design and probability
• Proficiency in modern machine learning techniques and model design using PyTorch or TensorFlow
• Strong SQL skills for writing and optimizing complex queries
• Advanced Python skills, including object-oriented programming and data science libraries
• Strong data visualization skills with the ability to translate technical insights into clear narratives

Benefits

• Medical, dental, and vision insurance
• 401(k) with company match
• Flexible paid time off and company holidays
• Paid parental leave
• Professional development and learning opportunities
• Access to wellness and mental health resources
• Remote work support and a home office stipend

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.