[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. Lumenalta is hiring a Senior Data Scientist to develop data-driven solutions that support business decisions. The role focuses on statistical and machine learning modeling, exploratory analysis, data preparation, and presenting analytical findings to diverse audiences.

Responsibilities

• Partner with cross-functional teams to understand business goals and translate them into data-driven solutions
• Develop statistical and machine learning models that support decision-making across the business
• Perform exploratory data analysis (EDA) to uncover trends, correlations, and insights that inform technical and business decisions
• Collaborate on data preparation, wrangling, and transformation to ensure the accuracy and integrity of model inputs and outputs
• Establish best practices for modeling, validation, and presenting analytical findings to a diverse audience

Skills

• 5+ years of experience in a Data Scientist or similar role, with hands-on experience building statistical or machine learning models
• Strong background in statistics and quantitative analysis — e.g., regression, classification, clustering, or segmentation
• Experience with statistical model development and deployment is required
• Hands-on experience with SQL for data extraction and manipulation, and Python (e.g., scikit-learn, statsmodels, pandas) for modeling
• Familiarity with data storytelling and the ability to present findings to both technical and non-technical audiences
• Candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules
• Experience with sensor/telemetry/IoT data
• Particularly in motorsport, high-performance car tuning

Benefits

• Flexible working hours in a remote environment.
• Health insurance (medical and dental) for W2 Employees.
• 401K Contribution.
• A professional development fund to enhance your skills and knowledge.
• 15 days of paid time off annually.
• Access to soft-skill development courses to further your career.

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