Staff Data Scientist (Remote)

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

This role is perfect for an experienced data scientist or AI/ML engineer who wants to make a tangible impact on business strategy through advanced analytics. The Staff Data Scientist will focus on designing, developing, and deploying machine learning models that optimize revenue forecasting and uncover new opportunities across global markets. Working closely with finance, commercial, marketing, and analytics teams, you will deliver scalable AI-driven solutions that improve decision-making, enhance productivity, and drive measurable business results. The position offers a highly collaborative environment, opportunities for technical leadership, and engagement with cutting-edge AI/ML technologies. Candidates will have the chance to influence business outcomes, mentor colleagues, and innovate in a fast-paced, data-driven organization.

Accountabilities

· Design, develop, and deploy machine learning and AI models to optimize revenue forecasts and identify new revenue opportunities.

· Collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions.

· Build robust data pipelines and frameworks for model deployment in partnership with data engineering teams.

· Apply advanced statistical and machine learning techniques, including time series forecasting, regression, and classification.

· Continuously monitor and refine model performance to ensure accuracy and relevance.

· Stay current with AI/ML research and emerging technologies, providing thought leadership and guidance on applicability to business challenges.

· Operationalize novel AI products that improve efficiency, decision-making, and commercial strategy.

· Document best practices, model specifications, and implementation processes to support stakeholders.

· Master’s degree with 6+ years of experience, or Ph.D. with 3+ years of experience in Data Science, AI/ML, Statistics, Applied Mathematics, or a related field.

· Proven experience building and deploying AI/ML solutions in commercial, financial, or enterprise contexts.

· Strong proficiency in Python, SQL, and ML libraries such as scikit-learn, TensorFlow, or PyTorch.

· Experience with large datasets, cloud platforms (AWS, Azure, or GCP), and model deployment pipelines.

· Strong business acumen and ability to collaborate effectively with technical and non-technical stakeholders.

· Experience in time series forecasting, regression modeling, and classification techniques.

· Excellent communication, problem-solving, and cross-functional collaboration skills.

· Preferred: knowledge of causal inference, Bayesian modeling, reinforcement learning, or Generative AI technologies. Experience in life sciences, biotech, or healthcare industries is a plus. Familiarity with financial planning tools or ERP systems (e.g., SAP HANA) is desirable.

· Competitive salary range ($138,800 – $208,200) with variable cash programs and potential equity options.

· Comprehensive health, dental, and vision coverage.

· Retirement benefits and savings plans.

· Paid time off, parental leave, and family support programs.

· Access to innovative tools and technologies, including genomics sequencing resources.

· Flexible work arrangements, including remote work opportunities.

· Career development programs, mentorship, and engagement in inclusive Employee Resource Groups (ERGs).

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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