Job Description

Lead Data Scientist – Go-to-Market Strategy & Analytics

Alexander Group: The Go-to-Market Consulting Leaders

Alexander Group provides go-to-market consulting services to marketing, sales, service and talent leaders. With over 40 years of developing practical, executable solutions, we are singularly focused on helping commercial teams unlock their full potential and reach new revenue goals. With a robust network of offices, Alexander Group maximizes growth opportunities for our clients around the globe.

Founded in 1985, we’ve served more than 3,000 companies around the world, across all industries. This experience gives us not only a highly sophisticated set of best practices to design go-to-market strategy—we also have a rich repository of industry data that informs all of our recommendations.

Our dedication to sales strategy and revenue growth has led to:

• More than 70% of our clients being Fortune 500 corporations
• Project work in more than 25 countries
• Extensive industry experience in B2B markets

We are seeking a Lead Data Scientist to lead our data science practice and drive innovation at the intersection of advanced analytics, machine learning and GTM strategy. This role combines technical leadership, client delivery and business development support, making it ideal for someone who thrives in both hands-on modeling and strategic advisory environments.

This role is designed as a senior, hands-on “player-coach” position with a clear growth path into broader practice leadership. As the data science team and offerings continue to scale, the Lead Data Scientist will have the opportunity to evolve into a Director of Data Science role, taking on increased responsibility for practice strategy, roadmap and executive-level engagement based on demonstrated impact and leadership.

The Lead Data Scientist will oversee a team of data scientists, guide the evolution of our analytical methodologies, and ensure high-quality delivery across client engagements. This individual will also play a key role in shaping new data-driven offerings and supporting client pursuits as a technical expert and solution architect.

Key Responsibilities:

Team Leadership & Practice Development

• Lead, mentor and grow a team of 7–10 data scientists, fostering a high-performance and collaborative culture
• Establish best practices for modeling, code quality and reproducibility across engagements
• Drive the development of new analytical frameworks, tools and reusable assets

Client Delivery & Technical Oversight

• Oversee end-to-end data science workstreams across multiple client engagements
• Ensure rigor, scalability and business relevance of all models and analyses
• Translate complex analytical outputs into clear, actionable insights for executive stakeholders

Modeling & Methodology Innovation

• Own and evolve core methodologies across areas such as customer targeting, segmentation, cross-sell, churn prevention, forecasting/quota optimization and marketing performance optimization
• Develop and apply machine learning models (e.g., unsupervised and supervised learning, time series, NLP-based approaches) to solve GTM challenges
• Explore and integrate emerging AI capabilities (e.g., LLMs, automation, augmentation tools) into client solutions and internal workflows

Business Development & Client Engagement

• Partner with consulting leaders to support business development efforts as a technical expert
• Participate in client meetings, proposals and solution design as a “secondary seller”
• Translate client needs into scalable analytical approaches and differentiated offerings

Requirements

Qualifications:

• Candidates MUST BE fully authorized to work in the U.S. without current or future need or potential need for visa sponsorship
• 5–10+ years of experience in data science, analytics or applied machine learning roles
• Proven experience leading teams and managing complex analytical projects
• Strong proficiency in Python (pandas, scikit-learn, etc.) and SQL; familiarity with R
• Experience building and deploying predictive models in business contexts
• Strong familiarity with RevOps, sales or GTM data (e.g., CRM, pipeline, account-level data)
• Ability to connect data science work to business outcomes, particularly in B2B environments
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
• Experience in Consulting, Private Equity or enterprise B2B environments is highly preferred
• Experience working with cloud platforms and modern data infrastructure, including AWS, Azure or GCP, as well as warehouse/lakehouse platforms such as Snowflake and Databricks a plus
• Exposure to production ML systems (MLOps, model deployment, monitoring) a plus
• Experience building internal data products or client-facing analytical tools (e.g., dashboards, apps or reusable platforms) a plus
• Experience with NLP, LLMs or AI-driven applications a plus

Why Alexander Group?

• Work at the forefront of GTM strategy for leading global organizations
• Combine advanced analytics with high-impact business consulting
• Opportunity to shape and scale a growing data science practice
• Collaborative, entrepreneurial environment with strong leadership visibility

Salary: $230,000-250,000 base; bonus eligible

EEO Employer. Required Work Eligibility: Must be eligible to work in the U.S. at the time of application with no current or future restrictions or sponsorship necessary. TN visa accepted.