Director Data Science (Remote – US

Description

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

 

The Director of Data Science will lead a high-performing team of data scientists, analysts, and machine learning specialists to deliver advanced analytics and AI solutions that drive business impact. This role focuses on applying data science to optimize marketing, sales, and customer experience through predictive modeling, experimentation, and data-driven insights. You will collaborate with senior leaders to shape enterprise-wide AI and analytics strategies, translating complex data into actionable recommendations. The ideal candidate combines deep technical expertise with strategic vision, fostering a culture of innovation and excellence. This position offers the opportunity to guide cutting-edge analytics initiatives, mentor a talented team, and influence business outcomes across the organization.

 

 

Accountabilities:

 

Lead development, deployment, and operationalization of predictive and prescriptive models to enhance marketing, sales, and customer engagement.

Partner with cross-functional teams to provide insights into customer behavior, campaign performance, and growth opportunities.

Build and scale analytics solutions for segmentation, personalization, churn reduction, and lifetime value optimization.

Ensure methodological rigor, model transparency, and operational reliability in all data science projects.

Define and execute a data science roadmap, aligning AI and analytics initiatives with business objectives.

Develop and mentor a high-performing team, fostering a collaborative, outcome-oriented culture.

Communicate complex technical insights to both technical and executive stakeholders, demonstrating measurable business impact.

 

Requirements

Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, or related field; Master’s or Ph.D. preferred.

10+ years of experience in data science, data analysis, data engineering, machine learning, actuarial science, or software development.

10+ years of experience with SQL and Python/R.

3+ years of experience leading teams of data scientists, analysts, or engineers.

Strong knowledge of cloud-based data infrastructure, including Redshift, Snowflake, or equivalent.

Experience in data science best practices, software version control (GitHub/GitLab), and reproducible analytics pipelines.

Expertise in advanced statistical modeling, machine learning, NLP, and large-scale structured and unstructured data.

Excellent project management, communication, and leadership skills.

Strategic, analytical, and creative thinker with the ability to influence and drive business decisions.

 

Benefits

Competitive salary range: USD $133,226 – $346,026 per year, based on experience and location.

Flexible work-from-anywhere policy across the United States for most positions.

Paid time off including vacation, sick leave, and company holidays.

Incentive bonus programs, including performance-based, referral, and holiday bonuses.

Comprehensive medical, dental, vision, life, and pet insurance.

401(k) retirement plan with company match.

Professional development and educational assistance programs.

Health and wellbeing resources, including mental health therapy/coaching and caregiving support.

Collaborative and engaging work environment with promotional opportunities and recognition programs.

 

 

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 three 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!