{"id":1302939,"url":"https://alion.io/job/ast-science-fleet-scheduler-data-scientist","title":"Fleet Scheduler Data Scientist","company":{"id":2057930,"name":"AST SpaceMobile","domain":"ast-science.com","url":"https://alion.io/company/ast-science","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":237,"ghost_share":0.122,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":114,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lanham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":228000,"period":"year","method":"role_country_seniority_unknown","sample_n":3718},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Multi-Agent Systems","optional":true}],"status":"live","first_seen_at":"2026-08-25T19:44:54Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-30T08:31:57Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":64},"description":"AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.\nPosition Overview\nWe are seeking a Fleet Scheduler Data Scientist to define, build, and operationalize algorithms that optimize and control this network. This role will lead the design and deployment of AI and ML powered large-scale combinatorial optimization algorithms that drive predictive planning and reactive real-time control loops. This role requires a deep understanding of state-of-the-art techniques in combinatorial optimization of heterogeneous graphs for system scheduling, and must develop an understanding of a host of underlying systems and subsystems to efficiently incorporate their features into both predictive and reactive action planning loops. This person will work in coordination with software engineers to implement the algorithms and models that are developed, and will also work closely with aerospace, network, and operations engineering teams to translate physics- and constraint-driven system behavior into scalable prediction, optimization, and control architectures. \nKey Responsibilities:\nOwn the architecture of AI and ML powered satellite and ground scheduling algorithms.\nDesign and deploy large-scale combinatorial optimization algorithms, with approaches ranging from mixed-integer programming and heuristics to reinforcement-learning-based solvers operating on heterogeneous graphs.\nIncorporate state-of-the-art techniques in combinatorial optimization, learning-augmented planning, graph-based scheduling, and computational efficiency.\nCreate a multi-tiered scheduling system, from high-level control of major satellite activities through mid-level control of system configurations and settings.\nDevelop physics-informed ML models that accurately predict satellite behaviors, utilizing simulated spacecraft model data and satellite telemetry data for fine-tuning.\nEnsure all models and optimizers are production-grade: data pipelines, training, validation, deployment, monitoring, and drift management.\nPartner with satellite engineers to develop simulated training data, define key system physics, and ensure models reflect true system behavior and constraints.\nCoordinate with satellite engineers to incorporate fleet modeling into design analysis and trades.\nIdentify and drive new opportunities for AI and ML across design, manufacturing, and in-orbit operations. \nQualifications \nEducation:\nBS/MS/PhD in Computer Science, Electrical Engineering, Applied Math, Physics, Aerospace, or a related field, or equivalent experience.\nExperience:\n5-7+ years delivering AI, ML, and other optimization systems in production environments.\nDemonstrated experience solving large-scale combinatorial optimization problems (e.g., scheduling, resource allocation, logistics, network capacity).\nStrong background in traditional optimization methods, including mixed-integer programming, constraint programming, or related techniques.\nExperience modeling and solving large-scale problems represented as graphs or heterogeneous graph structures.\nStrong Python and ML/optimization tooling (e.g., PyTorch).\nExperience building data pipelines and deploying models into operational systems. \nPreferred Qualifications:\nExperience with reinforcement learning, multi-agent systems, or hybrid ML + optimization.\nFamiliarity with satellite operations and RF communications.\nExperience building real-time or safety-critical decision systems.\nPrior technical leadership of AI/ML or optimization teams. \nSoft Skills:\nStrong cross-functional collaboration skills, partnering effectively with software, aerospace, network, and operations engineering teams.\nStrong communication skills, with the ability to translate complex physics- and constraint-driven system behavior into clear technical requirements.\nStrong analytical and problem-solving skills, with the ability to identify and drive new AI/ML opportunities across design, manufacturing, and operations.\nMeticulous attention to detail in model validation, production readiness, and drift monitoring. \nTechnology Stack:\nPython and ML/optimization tooling such as PyTorch.\nMixed-integer programming, constraint programming, and heuristic optimization solvers.\nReinforcement learning frameworks and graph-based/heterogeneous graph modeling tools.\nData pipeline and MLOps tooling for training, validation, deployment, monitoring, and drift management.\nSimulated spacecraft modeling and satellite telemetry data platforms. \nPhysical Requirements \nAbility to lift up to 25 lbs.\nAbility to use a computer for extended periods.\nAbility to work in a standard office environment.\nAbility to travel occasionally to support cross-team collaboration or reviews as needed.\nThis job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. \nAST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.","description_format":"text","description_chars":5710,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Satellite Communications","Satellite Manufacturing","Mobile Networks"],"lifecycle":[{"event":"open","at":"2026-09-26T12:21:47Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 12 · green card filings: 3","filings_12m":12,"filings_prev_12m":2,"green_card_filings_12m":3,"median_offered_wage_usd":139833,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":2}],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.847,"p_room":0.72,"age_days":65,"expected_fill_days":114,"reasons":["conf:1","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/ast-science-fleet-scheduler-data-scientist","json_url":"https://alion.io/job/ast-science-fleet-scheduler-data-scientist.json","meta":{"generated_at":"2026-10-30T12:33:10Z","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":17968,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":2057930},"rest":"https://alion.io/mcp/rest/get_company?id=2057930"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fast-science-fleet-scheduler-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%2Fast-science-fleet-scheduler-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%2Fast-science-fleet-scheduler-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/ast-science-fleet-scheduler-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fast-science-fleet-scheduler-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1302939}},{"tool":"search_jobs","arguments":{"company":"ast-science.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1302939},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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