{"id":2203291,"url":"https://alion.io/job/mclane-company-sr-data-scientist","title":"Sr Data Scientist","company":{"id":1904902,"name":"McLane Company","domain":"mclaneco.com","url":"https://alion.io/company/mclaneco","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":76,"open_postings":60,"ghost_share":0,"stale_share":0.95,"repost_share":0.017,"time_to_fill_p50_days":29,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Temple, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":157000,"max_usd":300000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-10-09T22:07:19Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-10-12T13:51:59Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Take your career further with McLane!\nMcLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America’s most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.\nResponsible for leading the design, development, and deployment of advanced data science and machine learning solutions that drive business value and operational efficiency. Ensures the delivery of scalable, production-grade models and analytics capabilities aligned with business objectives, data governance standards, and enterprise architecture.\nOperating with a high degree of independence, owns the end-to-end model lifecycle and serves as a technical leader within the data science function. Partners closely with cross-functional stakeholders to translate complex business problems into data-driven solutions and establishes best practices across ML/AI, MLOps, and DataOps disciplines.\nThis is a hybrid position which will require the candidate to report and work from the office at least three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.\nBenefits you can count on:\nDay 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance\nPaid time off begins day one.\n401(k) Profit Sharing Plan after 90 days.\nAdditional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!\nWhat You'll Do:\nLead the design, development, and deployment of advanced machine learning and AI solutions.\nOwn and manage the end-to-end model lifecycle, including problem definition, feature engineering, model training, validation, deployment, and monitoring.\nBuild, test, and deploy production-grade models using Python, statistical methods, and modern machine learning techniques.\nImplement and maintain MLOps and DataOps best practices, including CI/CD pipelines, model monitoring, and governance frameworks.\nDeploy and manage models in cloud environments (GCP and Azure) using Docker and containerized workflows.\nCollaborate with cross-functional teams to translate business requirements into scalable and actionable data solutions.\nEstablish and enforce technical standards, frameworks, and best practices for data science and model development.\nMentor and provide technical guidance to junior data scientists and team members.\nMonitor model performance and ensure accuracy, reliability, and scalability of deployed solutions.\nIdentify opportunities to enhance data science capabilities, automation, and operational efficiency.\nClearly communicate complex analytical concepts and insights to both technical and non-technical stakeholders.\nEscalate risks, issues, or model performance concerns appropriately.\nPerform other duties as assigned.\nWhat We're Looking For:\nBachelor’s degree in computer science, Information Systems, Cybersecurity, or a related field, or equivalent relevant experience. \n4 years of experience working with Security Administration across Mainframe, Unix, and Windows environments\nThis position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.\nFit the following? We want you here!\nTeamwork oriented\nOrganized\nProblem solver\nDetailed\nOur roadmap. Our story.\nWe’ve been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.\nCandidates may be subject to a background check and drug screen, in accordance with applicable laws.\nAll applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\nFor our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/\nTake your career further with McLane!\nMcLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America’s most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.\nResponsible for leading the design, development, and deployment of advanced data science and machine learning solutions that drive business value and operational efficiency. Ensures the delivery of scalable, production-grade models and analytics capabilities aligned with business objectives, data governance standards, and enterprise architecture.\nOperating with a high degree of independence, owns the end-to-end model lifecycle and serves as a technical leader within the data science function. Partners closely with cross-functional stakeholders to translate complex business problems into data-driven solutions and establishes best practices across ML/AI, MLOps, and DataOps disciplines.\nThis is a hybrid position which will require the candidate to report and work from the office at least three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.\nBenefits you can count on:\nDay 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance\nPaid time off begins day one.\n401(k) Profit Sharing Plan after 90 days.\nAdditional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!\nWhat You'll Do:\nLead the design, development, and deployment of advanced machine learning and AI solutions.\nOwn and manage the end-to-end model lifecycle, including problem definition, feature engineering, model training, validation, deployment, and monitoring.\nBuild, test, and deploy production-grade models using Python, statistical methods, and modern machine learning techniques.\nImplement and maintain MLOps and DataOps best practices, including CI/CD pipelines, model monitoring, and governance frameworks.\nDeploy and manage models in cloud environments (GCP and Azure) using Docker and containerized workflows.\nCollaborate with cross-functional teams to translate business requirements into scalable and actionable data solutions.\nEstablish and enforce technical standards, frameworks, and best practices for data science and model development.\nMentor and provide technical guidance to junior data scientists and team members.\nMonitor model performance and ensure accuracy, reliability, and scalability of deployed solutions.\nIdentify opportunities to enhance data science capabilities, automation, and operational efficiency.\nClearly communicate complex analytical concepts and insights to both technical and non-technical stakeholders.\nEscalate risks, issues, or model performance concerns appropriately.\nPerform other duties as assigned.\nWhat We're Looking For:\nBachelor’s degree in computer science, Information Systems, Cybersecurity, or a related field, or equivalent relevant experience. \n4 years of experience working with Security Administration across Mainframe, Unix, and Windows environments\nThis position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.\nFit the following? We want you here!\nTeamwork oriented\nOrganized\nProblem solver\nDetailed\nOur roadmap. Our story.\nWe’ve been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.\nCandidates may be subject to a background check and drug screen, in accordance with applicable laws.\nAll applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\nFor our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/","description_format":"text","description_chars":9827,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Life insurance","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wholesale","Food Logistics","Supply Chain"],"lifecycle":[{"event":"open","at":"2026-10-09T22:07:19Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 20 · green card filings: 2","filings_12m":20,"filings_prev_12m":16,"green_card_filings_12m":2,"median_offered_wage_usd":102045,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+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":4}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":29,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/mclane-company-sr-data-scientist","json_url":"https://alion.io/job/mclane-company-sr-data-scientist.json","meta":{"generated_at":"2026-10-12T18:33:16Z","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":30015,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":1904902},"rest":"https://alion.io/mcp/rest/get_company?id=1904902"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmclane-company-sr-data-scientist"},{"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%2Fmclane-company-sr-data-scientist"},{"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%2Fmclane-company-sr-data-scientist"},{"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/mclane-company-sr-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmclane-company-sr-data-scientist"}]}