Job Description

Salary: $130,000 - 160,000 per year Requirements:

• 5-8+ years of experience in data science, predictive analytics, machine learning, or a related quantitative discipline.
• Proven hands-on experience developing predictive models in business contexts rather than solely academic settings.
• Strong foundation in statistics, machine learning methodologies, model evaluation, and experimental design.
• Proficient in SQL and Python programming languages.
• Experience guiding projects from problem framing to model implementation and business integration.
• Ability to convert vague business challenges into structured analytical frameworks.
• Experience influencing project priorities and managing complex workflows without direct managerial authority.
• Exceptional communication skills to convey technical concepts to non-technical audiences clearly.
• Proven track record of collaborating effectively with cross-functional teams and distributed technical groups.
• A pragmatic approach: knowing when to prioritize accuracy and when to optimize for efficiency, ensuring the delivery of valuable business solutions.

• Identify and evaluate predictive modeling opportunities across various business dimensions, including customer engagement and operations.
• Shape the modeling roadmap based on business impact, feasibility, data accessibility, and company priorities.
• Collaborate with stakeholders from Strategy Analytics, Product, Marketing, and Finance to convert ambiguous business queries into actionable data science initiatives.
• Ensure that predictive projects align with measurable business objectives, emphasizing practical outcomes over technical pursuits.
• Design, construct, validate, and enhance predictive models that positively influence decision-making throughout the organization.
• Utilize appropriate methodologies such as classification, regression, forecasting, and machine learning to tackle specific challenges.
• Develop strategies for various use cases, including customer retention, demand forecasting, and prioritization workflows.
• Establish success metrics and validation frameworks that assess model performance alongside business applicability.
• Collaborate on deploying findings to integrate model outcomes into operational processes and reporting systems.
• Lead modeling efforts across distributed teams without direct managerial responsibilities, ensuring clarity in priorities and project deliverables.
• Foster a robust operational cadence that includes project planning, execution, review, and continuous enhancement of analytical practices.
• Set best practices for feature creation, model documentation, and performance monitoring to elevate analytics standards.
• Collaborate with data engineering teams to enhance ML-ready datasets and improve data activation processes.
• Effectively communicate modeling insights and recommendations to both technical and non-technical stakeholders, emphasizing the implications for business actions.

• Machine Learning
• Marketing
• Python
• SQL
• AI
• Airflow
• Cloud
• Data Warehouse
• Embedded
• Git
• Support
• Looker
• Snowflake
• Tableau
• dbt

More:

We are seeking a Senior Data Scientist to drive our predictive analytics initiatives from a telecommute position. This permanent role offers a salary ranging from $130,000 to $160,000 per year, with work hours from 9 AM to 6 PM. As a key player in our team, you will engage directly with our Advanced Analytics team, helping to shape and execute the predictive modeling strategy. We offer an innovative working environment and value collaboration, ensuring that our solutions are not only technically sound but also practically valuable for our business goals.

last updated 43 week of 2026

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