{"id":2668362,"url":"https://alion.io/job/leidos-applied-data-scientist-performance-management-ai-solutions","title":"Applied Data Scientist – Performance Management & AI Solutions","company":{"id":7791,"name":"Leidos","domain":"leidos.com","url":"https://alion.io/company/leidos","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":173,"ghost_share":0.006,"stale_share":0.798,"repost_share":0.006,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":87100,"max":157450,"currency":"USD","period":"year","gross":null,"usd_annual":157450},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Git","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-18T12:39:33Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Leidos is seeking an Applied Data Scientist to join our Performance Management team supporting a large, mission-critical Navy program. This is a hands-on, solution-oriented role focused on using data, AI, and software development to solve operational performance challenges, build practical analytical capabilities, and deliver measurable improvements.\nWe are looking for someone who enjoys turning complex, sometimes ambiguous problems into working solutions. The ideal candidate combines strong technical development skills with an analytical, consultative mindset-someone who can understand operational challenges, identify opportunities, develop and implement solutions, and work with stakeholders to ensure those solutions deliver value.\nThe work centers on Service Level Requirements (SLRs) that govern contractual performance across the program, with additional support to broader Navy performance initiatives such as World Class Alignment Metrics (WAM). Key priorities include identifying performance improvement opportunities, strengthening the effectiveness of Plans of Action and Milestones (POAMs), and developing AI-enabled tools and workflows that help the team move from reactive analysis to proactive performance management.\nThis role sits at the intersection of applied analytics, AI solution development, and operational performance consulting. You will work closely with analysts, engineers, and performance leaders to translate business needs into practical technical solutions, while helping expand the team's ability to use AI, automation, and reusable code in everyday operations.\nThis position is remote.\nPlease be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you.\nWhat You'll Do\nDevelop and deliver practical solutions using Python, AI, data analytics, and automation to address real-world operational performance challenges.\nPartner with performance analysts, engineers, and program stakeholders to understand business problems, define requirements, recommend approaches, and translate opportunities into actionable technical solutions.\nBuild, test, refine, and implement reusable code, analytical tools, and AI-enabled workflows that improve how the team identifies, investigates, and addresses performance issues.\nAnalyze complex operational data to identify emerging risks, recurring issues, root causes, and opportunities to improve contractual performance.\nApply AI and machine learning where appropriate to accelerate analysis, identify patterns, support decision-making, and improve the prioritization and effectiveness of POAMs.\nDevelop prototypes and proof-of-concept solutions, then work with the team to turn successful approaches into repeatable, sustainable capabilities.\nImprove existing analytical processes through automation, integration of data sources, and more efficient code-first workflows.\nTranslate analytical findings into clear recommendations, practical actions, and measurable performance improvements.\nCommunicate effectively with technical and non-technical stakeholders, explaining not only what the data shows but what actions should be taken and why.\nServe as a hands-on resource for AI adoption and capability development, helping teammates identify useful applications and incorporate new tools and techniques into their work.\nSupport broader Navy performance initiatives by adapting and extending successful solutions across related operational challenges.\nRequired Qualifications\nBachelor's degree and 4-8 years of prior relevant experience, or Master's degree with 2-6 years of prior relevant experience. Additional years of experience may be accepted in lieu of a degree.\nUS citizenship \nMust have an active DoD secret security clearance. \nDemonstrated experience developing and implementing data-driven, analytical, automation, or AI-enabled solutions to solve real-world business or operational problems.\nStrong Python programming skills, including experience building reusable scripts, analytical workflows, tools, or applications.\nExperience working directly with stakeholders to understand business needs, frame problems, define requirements, and deliver practical solutions.\nExperience using data analysis, applied machine learning, or AI techniques to generate actionable insights and support operational decisions.\nAbility to work with large, complex, or imperfect datasets and transform them into reliable, usable analytical outputs.\nStrong problem-solving skills and the ability to move independently from problem identification through solution development and implementation.\nAbility to communicate technical concepts, findings, and recommendations clearly to both technical and non-technical audiences.\nCollaborative, results-oriented mindset with a willingness to iterate, incorporate feedback, and adapt solutions to operational needs.\nPreferred Qualifications\nExperience developing AI-enabled applications, automation solutions, or decision-support tools using Python and modern development frameworks.\nHands-on experience with generative AI, large language models (LLMs), AI APIs, or related tools to solve business problems or improve operational workflows.\nExperience with SQL, data pipelines, APIs, or integrating data from multiple systems.\nFamiliarity with software development practices such as Git, version control, testing, documentation, and reusable code design.\nExperience in a technical consulting, analytics consulting, solutions engineering, or business-facing development role.\nExperience developing prototypes, demonstrating solutions to stakeholders, and iterating based on user feedback.\nFamiliarity with operational performance metrics, service-level agreements, continuous improvement, or contract-driven environments.\nExperience developing analytical solutions that support prioritization, root cause analysis, forecasting, or operational decision-making.\nExperience supporting large-scale enterprise or government environments.\nAbility to balance technical sophistication with practicality, maintainability, explainability, and user adoption.\nWhat Success Looks Like\nWorking solutions are delivered, not just analyses or recommendations, and those solutions make a measurable difference in operational performance.\nPerformance improvement opportunities are identified earlier and translated into practical actions that help teams address underlying issues.\nPOAMs are better prioritized, more actionable, and more effective at improving contractual performance.\nRepetitive analytical tasks are automated, allowing the team to spend more time solving problems and less time preparing data or producing reports.\nAI-enabled tools and workflows are implemented, adopted, and trusted by analysts, engineers, and performance leaders.\nReusable code, tools, and analytical capabilities are developed that improve the team's effectiveness and can be extended to new use cases.\nStakeholders view this role as a practical technical partner who understands their challenges, develops useful solutions, and helps deliver results.\nThe team continues progressing toward a more proactive, code-first, AI-enabled performance management model.\nNGEN\nIf you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.\nOriginal Posting:\nOctober 14, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.\nPay Range:\nPay Range $87,100.00 - $157,450.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.","description_format":"text","description_chars":8359,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":true,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","C4ISR","Defense Manufacturing","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-16T03:24:50Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 50 · green card filings: 24","filings_12m":50,"filings_prev_12m":58,"green_card_filings_12m":24,"median_offered_wage_usd":124257,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":27,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":157450,"is_top_pay":true},"html_url":"https://alion.io/job/leidos-applied-data-scientist-performance-management-ai-solutions","json_url":"https://alion.io/job/leidos-applied-data-scientist-performance-management-ai-solutions.json","meta":{"generated_at":"2026-10-18T20:55:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24708,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7791},"rest":"https://alion.io/mcp/rest/get_company?id=7791"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fleidos-applied-data-scientist-performance-management-ai-solutions"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fleidos-applied-data-scientist-performance-management-ai-solutions"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fleidos-applied-data-scientist-performance-management-ai-solutions"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/leidos-applied-data-scientist-performance-management-ai-solutions\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fleidos-applied-data-scientist-performance-management-ai-solutions"}]}