{"id":1219225,"url":"https://alion.io/job/allegisgroup-lead-data-scientist","title":"Lead Data Scientist","company":{"id":1886310,"name":"Allegis Group","domain":"allegisgroup.com","url":"https://alion.io/company/allegisgroup","size_band":"501-1000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hanover, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Cortex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-09-25T11:35:17Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T16:45:32Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Overview\nJob Summary:\nAllegis 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.\nWe 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.\nThe 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.\nAre you up for the challenge?\nTop Skills:\nExpertise with SQL for complex querying against cloud data platforms (Snowflake preferred)\nProficiency in data visualization and BI tools, especially Tableau\nExperience defining, measuring, and communicating business metrics and KPIs to executive stakeholders\nFamiliarity with AI/ML techniques including text-to-SQL, semantic modeling, and predictive analytics (Snowflake Cortex experience a plus)\nStrong understanding of the Salesforce ecosystem and CRM analytics\nJob Description:\nLeads metrics strategy and analytics delivery for the Connected Growth & Insights team within Allegis Group's enterprise Salesforce practice. \nPartners with coalition leaders, product owners, and Data & Analytics architects to define success metrics across all transformation stages. \nDesigns and delivers Tableau dashboards and visualizations that transform product and sales activity into decision-ready metrics for OpCo stakeholders. \nTranslate complex data into clear, actionable narratives for senior leadership using data storytelling techniques. \nAdvance 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. \nEvaluate analytics tooling to reduce duplicative technology and optimize the team's reporting stack. \nMentor team members on analytics best practices and data science principles.\nPresents findings to stakeholders at all levels.\nResponsibilities\nEssential Functions:\nDefines, 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\nDesigns and delivers Tableau dashboards and reports that transform product and sales activity into decision-ready metrics for OpCo stakeholders (TEKsystems, Aerotek, Actalent, Aston Carter)\nTranslates 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\nAdvances the Cortex AI agent initiative by developing and expanding self-service analytics capabilities (Cortex Analyst / Cortex Search) that reduce time-to-insight for stakeholders\nDelivers reports and analysis for the Incubation Hub and cross-coalition teams, ensuring data-driven decisions are applied to the performance of experiments\nAnalyzes and recommends analytics tooling (e.g., Adobe Analytics vs. Quantum Metric) to reduce duplicative technology and optimize the analytics stack\nServes 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\nWorks in an Agile team with business analysts, product owners, and developers to deliver analytics solutions in sprints\nCommunicates project status, issues, and resolution with appropriate stakeholders\nMaintains a working knowledge of new technologies and adopts suitable concepts for the organization\nCreates level of effort (LOE) and duration estimates for assigned work. Proactively manages activities to meet those expectations\nMentors and guides junior team members on analytics best practices, metric design patterns, and data science principles\nQualifications\nMinimum Education and/or Experience:\nBachelor of Science degree or higher in Computer Science, Statistics, Data Science, Mathematics, or other related STEM field\n7+ years in a data science, analytics, or business intelligence role with progressive responsibility\nDemonstrated experience defining and delivering business metrics and KPIs at enterprise scale\nStrong proficiency in SQL and Tableau (or equivalent BI platform)\nExperience with Snowflake or similar cloud data platforms\nExperience with Python or R for data analysis, statistical modeling, or automation\nFamiliarity with Salesforce data models and CRM reporting is strongly preferred\nSkills/Abilities:\nKnowledge of descriptive and inferential statistics, including hypothesis testing and A/B experimentation\nAbility to apply supervised and unsupervised machine learning techniques for classification, clustering, and predictive modeling\nExperience building semantic models or AI-driven analytics tools (Snowflake Cortex, LLM-powered analytics a plus)\nStrong data visualization skills with an emphasis on clarity, accuracy, and stakeholder-appropriate design\nAbility to communicate insights to business and leadership audiences in verbal and written formats - including executive-level data storytelling\nStrong understanding of Agile processes and practices (SAFe experience a plus)\nAbility to lead initiatives, mentor team members, and take accountability for delivery\nStrong analytical and critical thinking skills\nIntellectual curiosity: creativity and innovation to go beyond current tools to deliver the best solution to complex problems\nOffice Requirements:\nRequired in office at least 2-3 days a week out of our headquarters in Hanover, MD or offices in Jacksonville, FL\nCore Competencies:\nCustomer Service\nBuilding Relationships\nBusiness Knowledge / Organizational Acumen\nSelf-Motivation / Self-Starter\nLeading Self and Others\nData Storytelling & Executive Communication\nBenefits Overview:\nBenefits are subject to change and may be subject to specific elections, plan, or program terms. This role is eligible for the following:\nMedical, dental & vision\nHospital plans\n401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available\nLife Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)\nCompany paid Short and long-term disability\nHealth & Dependent Care Spending Accounts (HSA & DCFSA)\nTransportation benefits\nEmployee Assistance Program\nTuition Assistance\nTime Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)\nSalary Range:\n$112,500 - $168,700\nThe position is bonus-eligible\n\nIndividual 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.\nThe 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.\n\nIf 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  or call 410-579-3526 for other accommodation options.","description_format":"text","description_chars":8126,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Parental leave","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T11:35:17Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":35,"reasons":["conf:17","agency","win:early"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/allegisgroup-lead-data-scientist","json_url":"https://alion.io/job/allegisgroup-lead-data-scientist.json","meta":{"generated_at":"2026-09-27T02:49:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2596,"day_limit":5000,"remaining_today":2404,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}