Senior Data Scientist (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in United States.

This role is ideal for a data-driven professional passionate about personalization and user engagement. You will design, build, and deploy sophisticated recommendation models to optimize user experiences across digital platforms. Working closely with cross-functional teams, you will identify business problems, develop innovative solutions, and ensure seamless integration of data science initiatives. The position offers opportunities to lead projects, influence strategic decisions, and implement cutting-edge machine learning techniques. Your work will directly impact user satisfaction, engagement, and overall business growth, while you continue to expand your expertise in advanced analytics and personalization systems.

Accountabilities:

• Serve as a technical leader within the data science team, fostering collaboration and innovation.
• Partner with stakeholders to identify business challenges and design impactful personalization initiatives.
• Architect, build, and deploy recommendation engines and advanced personalization models, including two-tower models and other ML techniques.
• Take ownership of data science project components, define roadmaps, and lead cross-functional teams.
• Collaborate with Data Engineers and ML Engineers to ensure smooth integration, deployment, and production readiness.
• Contribute to the evolution of data science infrastructure and champion best practices.
• Present solutions and recommendations to diverse audiences, including senior leadership, using data-driven insights and compelling visualizations.

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
• 4+ years of industry experience as a Data Scientist, ML Engineer, or similar role.
• Proven track record designing, prototyping, scaling, and deploying recommendation engines or other personalization solutions.
• Strong programming skills in Python and familiarity with software engineering best practices.
• Deep understanding of machine learning lifecycle, algorithms, and domains.
• Knowledge of data engineering practices, including data pipelines, processing, and storage (e.g., Spark).
• Experience collaborating with diverse business stakeholders and translating their needs into technical solutions.
• Ability to communicate complex topics clearly to both technical and non-technical audiences.
• Experience with automation and orchestration tools such as Airflow, Dagster, DBT, or Cron.
• Knowledge of the sports betting industry is a plus but not required.

• Competitive base salary ($150,000–$200,000 USD) with potential bonuses or commission for applicable roles.
• Comprehensive benefits package, including medical, dental, vision, and retirement options.
• Opportunities for professional growth and leadership in data science and ML initiatives.
• Flexible remote work options with support for collaboration across distributed teams.
• Access to cutting-edge analytics tools, technologies, and projects that influence user engagement.
• Inclusive and diverse work environment that values collaboration and innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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