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Lead Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

Lead Data Scientist - 2 positions - Work location - Chicago, IL. LOCALS PREFERRED, immediate joiners only Work model - Hybrid - 4 days onsite per week. About the role: We are seeking a seasoned Lead ...

As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into ...

CAVA is looking for a lead data scientist that will help us discover the information hidden in vast amounts of data, help us make smarter decisions, improve productivity and deliver even better guest ...

Lead Data Scientist, Relevancy Sciences Data Science & Research - Personalization & Loyalty Strategy (P3764) Relevancy Sciences Team is responsible for powering relevant, personalized, and scalable ...

Lead Data Scientist

Washington, DC · On-site

$170K - $218K/yr

CAVA is looking for a lead data scientist that will help us discover the information hidden in vast amounts of data, help us make smarter decisions, improve productivity and deliver even better guest ...

Lead Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to ...

As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into ...

Alteryx is searching for a Lead Data Scientist . This position is remote-friendly. Position Overview: We are seeking a Lead Data Scientist to join the AI Integrity Labs team within the AI ...

Role Summary Nuuly is looking for a Lead Data Scientist who will lead data science work embedded in a new initiative at Nuuly: Inventory Science, aimed at optimizing the acquisition and utilization ...

CAVA is looking for a lead data scientist thatwill help us discover the information hidden in vast amounts of data, help usmake smarter decisions, improve productivity and deliver even better ...

The Lead Data Scientist acts as a technical leader for establishing and maintaining a sound analytic approach for solving the problem at hand. This individual will develop good networks within the ...

Lead and Inspire : Guide a team of data scientists to tackle AutoZone's most pressing challenges. * Collaborate and Strategize : Work closely with leaders to understand needs, develop directives, and ...

As a Lead Data Scientist at Lennar, you will play a key role in developing and operationalizing AI-driven solutions that transform how we price, sell, and personalize experiences for customers across ...

As a Lead Data Scientist at Lennar, you will play a key role in developing and operationalizing AI-driven solutions that transform how we price, sell, and personalize experiences for customers across ...

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Lead Data Scientist information

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$46K

$165K

$243.5K

How much do lead data scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for lead data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are Lead Data Scientists?

Lead Data Scientists are experienced professionals who oversee data science teams and projects within an organization. They are responsible for designing and implementing advanced analytics models, managing data pipelines, and turning data insights into actionable business strategies. In addition to their technical expertise, Lead Data Scientists collaborate with stakeholders, mentor junior data scientists, and ensure that data-driven solutions align with business goals. Their role often bridges the gap between data science and business decision-making, making them key contributors to an organization's success.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Lead Data Scientists often use this concept to prioritize data cleaning, feature selection, and model tuning to improve efficiency and model performance.

Is 40 too late for data science?

Age is not a barrier to becoming a lead data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through self-study, bootcamps, or advanced degrees. Experience, continuous learning, and a strong portfolio are key factors for advancing in the field regardless of age.

What does a lead data scientist do?

A lead data scientist oversees data analysis projects, develops models, and guides a team of data scientists to extract insights from data. They often work with programming languages like Python or R, utilize machine learning techniques, and communicate findings to stakeholders to support business decisions.

What are the key skills and qualifications needed to thrive as a Lead Data Scientist, and why are they important?

To thrive as a Lead Data Scientist, you need advanced expertise in statistics, machine learning, data modeling, and strong programming skills (often in Python or R), typically supported by an advanced degree in a quantitative field. Familiarity with big data platforms (such as Hadoop or Spark), cloud computing tools, and experience with data visualization and version control systems are commonly required. Outstanding leadership, communication, and project management abilities help distinguish top performers in this role. These skills are crucial for designing impactful data solutions, guiding teams, and effectively translating complex analyses into actionable business strategies.

How does a Lead Data Scientist typically balance hands-on technical work with team leadership responsibilities?

A Lead Data Scientist often splits their time between developing advanced data models and guiding team members through project execution. While they remain deeply involved in coding, data exploration, and validation, they also mentor junior staff, oversee project timelines, and ensure alignment with business goals. Balancing these tasks requires strong organizational skills, the ability to delegate, and regular communication with both technical teams and non-technical stakeholders. This dual focus not only drives project success but also supports the professional development of the entire data science team.

What is the salary of a lead data scientist?

The salary of a lead data scientist typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles may include bonuses, stock options, and other benefits, especially in tech companies or large organizations.
More about Lead Data Scientist jobs
What cities are hiring for Lead Data Scientist jobs? Cities with the most Lead Data Scientist job openings:
Who are the top companies hiring for Lead Data Scientist jobs? The top employers for Lead Data Scientist jobs are:
What states have the most Lead Data Scientist jobs? States with the most job openings for Lead Data Scientist jobs include:
Infographic showing various Lead Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Lead Data Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Job Summary:

Allegis Group is the global leader in talent solutions, delivering staffing services to our customers through our operating companies, including Aerotek, TEKsystems, and Aston Carter. The IT department at Allegis is leading us through a digital transformation where we are seamlessly incorporating technology into our work to enhance who we are – a company committed to creating opportunity for those around us and for those who will come after us.

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 every data point to a strategic outcome 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 of products and linked applications. This person will own metric definition, dashboard delivery, and stakeholder storytelling across multiple OpCos and transformation stages — while also advancing our Cortex AI agent initiative to make Snowflake data and insights more accessible through self-service tooling.

Are you up for the challenge?

Top 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)
  • Strong understanding of the Salesforce ecosystem and CRM analytics

Job Description:

  • Leads metrics strategy and analytics delivery for the Connected Growth & Insights team within Allegis Group's enterprise Salesforce practice.
  • Partners with coalition leaders, product owners, and Data & Analytics architects to define success metrics across all transformation stages.
  • Designs and delivers Tableau dashboards and visualizations that transform product and sales activity into decision-ready metrics for OpCo stakeholders.
  • Translate complex data into clear, actionable narratives for senior leadership using data storytelling techniques.
  • Advance self-service analytics capabilities through Snowflake Cortex AI (Cortex Analyst / Cortex Search) to reduce time-to-insight and enable rapid decision-making for early-phase experiments and enterprise rollouts.
  • Evaluate analytics tooling to reduce duplicative technology and optimize the team's reporting stack.
  • Mentor team members on analytics best practices and data science principles.
  • Presents findings to stakeholders at all levels.

Essential Functions:

  • 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. Proactively manages activities to meet those expectations
  • Mentors and guides junior team members on analytics best practices, metric design patterns, and data science principles

Minimum Education and/or Experience:

  • 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/Abilities:

  • 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

Core Competencies:

  • Customer Service
  • Building Relationships
  • Business Knowledge / Organizational Acumen
  • Self-Motivation / Self-Starter
  • Leading Self and Others
  • Data Storytelling & Executive Communication

 

Benefits Overview:

Benefits are subject to change and may be subject to specific elections, plan, or program terms.  This role is eligible for the following:

  • Medical, dental & vision
  • Hospital plans
  • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
  • Life Insurance (Company paid Basic Life and AD&D 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)

 

Salary Range:

  • $112,500 - $168,700
  • The position is bonus-eligible

 

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

 

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara at llara@allegisgroup.com or call 410-579-3526 for other accommodation options.