Lead Data Scientist

About the role

Allegis Group is the global leader in talent solutions, delivering staffing services through operating companies including Aerotek, TEKsystems, and Aston Carter. The IT department is leading a digital transformation, integrating technology to enhance the company’s mission. We are seeking a Lead Data Scientist to join the Connected Growth & Insights team—a metrics-focused practice within Connected Shared Services. This team serves as the "engine of insight" for the Connected program, connecting data points to strategic outcomes and functioning as the Metrics Support System for every team in Connected.

The ideal candidate combines strong analytical and visualization skills with emerging AI/ML capabilities to surface the value of the Salesforce ecosystem and linked applications. This role owns metric definition, dashboard delivery, and stakeholder storytelling across multiple OpCos and transformation stages while advancing the Cortex AI agent initiative to make Snowflake data and insights more accessible through self-service tooling.

Responsibilities

• Defines, builds, and maintains success metrics for Connected initiatives across all transformation stages (Experiment → Pilot → Enterprise Rollout → Steady State), aligned to the Metrics Center of Excellence framework.
• Designs and delivers Tableau dashboards and reports that transform product and sales activity into decision-ready metrics for OpCo stakeholders (TEKsystems, Aerotek, Actalent, Aston Carter).
• Translates complex data into clear, actionable narratives for coalition leaders, product owners, and senior IS leadership using data storytelling to demonstrate the value of the Salesforce ecosystem.
• Advances the Cortex AI agent initiative by developing and expanding self-service analytics capabilities (Cortex Analyst / Cortex Search) that reduce time-to-insight for stakeholders.
• Delivers reports and analysis for the Incubation Hub and cross-coalition teams, ensuring data-driven decisions are applied to the performance of experiments.
• Analyzes and recommends analytics tooling (e.g., Adobe Analytics vs. Quantum Metric) to reduce duplicative technology and optimize the analytics stack.
• Serves as the Growth & Insights data SME within Metrics CoE tactical working groups, partnering with coalition leads and Data & Analytics architects to ensure metrics align with business goals.
• Works in an Agile team with business analysts, product owners, and developers to deliver analytics solutions in sprints.
• Communicates project status, issues, and resolution with appropriate stakeholders.
• Maintains a working knowledge of new technologies and adopts suitable concepts for the organization.
• Creates level of effort (LOE) and duration estimates for assigned work and proactively manages activities to meet those expectations.
• Mentors and guides junior team members on analytics best practices, metric design patterns, and data science principles.

Requirements

• Bachelor of Science degree or higher in Computer Science, Statistics, Data Science, Mathematics, or other related STEM field.
• 7+ years in a data science, analytics, or business intelligence role with progressive responsibility.
• Demonstrated experience defining and delivering business metrics and KPIs at enterprise scale.
• Strong proficiency in SQL and Tableau (or equivalent BI platform).
• Experience with Snowflake or similar cloud data platforms.
• Experience with Python or R for data analysis, statistical modeling, or automation.
• Familiarity with Salesforce data models and CRM reporting is strongly preferred.

Skills

• Expertise with SQL for complex querying against cloud data platforms (Snowflake preferred).
• Proficiency in data visualization and BI tools, especially Tableau.
• Experience defining, measuring, and communicating business metrics and KPIs to executive stakeholders.
• Familiarity with AI/ML techniques including text-to-SQL, semantic modeling, and predictive analytics (Snowflake Cortex experience a plus).
• Knowledge of descriptive and inferential statistics, including hypothesis testing and A/B experimentation.
• Ability to apply supervised and unsupervised machine learning techniques for classification, clustering, and predictive modeling.
• Experience building semantic models or AI-driven analytics tools (Snowflake Cortex, LLM-powered analytics a plus).
• Strong data visualization skills with an emphasis on clarity, accuracy, and stakeholder-appropriate design.
• Ability to communicate insights to business and leadership audiences in verbal and written formats, including executive-level data storytelling.
• Strong understanding of Agile processes and practices (SAFe experience a plus).
• Ability to lead initiatives, mentor team members, and take accountability for delivery.
• Strong analytical and critical thinking skills.
• Intellectual curiosity: creativity and innovation to go beyond current tools to deliver the best solution to complex problems.

Office Requirements

Required in office at least 2-3 days a week out of our headquarters in Hanover, MD or offices in Jacksonville, FL.

Benefits

• Medical, dental & vision hospital plans.
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available.
• Company-paid Basic Life and AD&D insurance as well as voluntary Life & AD&D for the employee and dependents.
• Company-paid short- and long-term disability.
• Health & Dependent Care Spending Accounts (HSA & DCFSA).
• Transportation benefits.
• Employee Assistance Program.
• Tuition Assistance.
• Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave).

Pay

Salary Range: $112,500 - $168,700. The position is bonus-eligible. Individual compensation offered for this position within this range will depend on qualifications, skills, relevant experience, job knowledge, geographic location, and internal equity.