{"id":123592,"url":"https://alion.io/job/true-anomaly-software-engineer-i-data-science-new-grad","title":"Software Engineer I, Data Science (New Grad)","company":{"id":3381,"name":"True Anomaly","domain":"trueanomaly.space","url":"https://alion.io/company/true-anomaly","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":92,"open_postings":168,"ghost_share":0.054,"stale_share":0,"repost_share":0.006,"time_to_fill_p50_days":101,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Denver, United States","Long Beach, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":194000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":985},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Grafana","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Plotly","optional":false},{"name":"Python","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"A/B Testing","optional":true},{"name":"Anomaly Detection","optional":true},{"name":"Machine Learning","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Tableau","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-08-25T18:35:15Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-19T01:13:22Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":53},"description":"Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.\nOUR MISSION\nTrue Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.\nOUR VALUES\nBe the offset. We create asymmetric advantages with creativity and ingenuity.\nWhat would it take? We challenge assumptions to deliver ambitious results.\nIt’s the people. Our team is our competitive advantage and we are better together.\nBENEFITS & PERKS*\nBest-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options\n Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave\nFuel for your day: Daily catered lunch and unlimited snacks for in-office employees\n And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays\n Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success.\n*Do not apply to fixed term and temporary roles\nYOUR MISSION\ndiv]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8\">\n_*]:min-w-0 gap-3 standard-markdown\">\nYou'll turn spacecraft data into actionable insights across manufacturing and operations: building dashboards that surface production bottlenecks and on-orbit anomalies, analyzing test failures and mission telemetry to identify root causes, training predictive models that flag at-risk components before integration and detect spacecraft health degradation during missions, and mining telemetry to catch anomalies operators would miss. Your work spans the full spacecraft lifecycle. Pre-launch, you'll analyze manufacturing telemetry, test logs, failure reports, and supplier data to catch problems before integration. Post-launch, you'll monitor on-orbit telemetry streams, detect anomalies in spacecraft health data, analyze mission performance, and flag degradation patterns that predict future failures. This is entry-level data science work supporting hardware production and spacecraft operations. You'll write SQL queries, build predictive models in Python, create operational dashboards, and see your analysis drive decisions on the manufacturing floor and in mission control.\nThis is a 3 month temporary employment engagement. There is potential to convert to regular employment based on performance and business need.\nRESPONSIBILITIES\nPerform exploratory data analysis on manufacturing telemetry, test logs, mission data, and on-orbit spacecraft health telemetry to identify patterns and surface anomalies \nBuild operational dashboards in Grafana or Plotly Dash showing real-time production status, spacecraft health metrics, mission performance, and anomaly alerts \nTrain basic predictive models (logistic regression, random forests) to flag at-risk components during manufacturing and predict spacecraft health degradation during missions \nWrite SQL queries to extract, join, and aggregate data from manufacturing databases, test systems, mission telemetry streams, and spacecraft health archives \nAnalyze test failures and on-orbit anomalies to identify common failure modes, cluster similar issues, and quantify impact on schedule and mission success \nCreate data visualizations (matplotlib, seaborn, Plotly) that communicate findings to engineers, manufacturing leads, mission operators, and program managers \nImplement statistical process control charts to detect out-of-spec conditions in manufacturing processes and spacecraft telemetry before they cascade \nMonitor on-orbit telemetry streams for anomalies: battery voltage trends, thermal behavior, attitude control health, communications link quality \nDocument analysis methodology in Jupyter notebooks enabling reproducibility and knowledge transfer across manufacturing and operations teams \nLearn reliability engineering and mission operations concepts: failure modes, burn-in testing, on-orbit commissioning, spacecraft health monitoring, and anomaly response procedures \nQUALIFICATIONS\nBachelor's or Master's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or related quantitative field \nProficiency in Python for data analysis: pandas, numpy, matplotlib, seaborn \nWorking knowledge of SQL for querying relational databases: SELECT, JOIN, GROUP BY, aggregation functions \nCoursework in statistics: hypothesis testing, regression, probability distributions, experimental design \nAbility to create clear visualizations that communicate insights to technical and non-technical audiences \nStrong curiosity about how things fail and how data can predict failures before they happen \nDebugging mindset: when the model gives wrong answers or the query returns unexpected results, you dig in to find out why \nEagerness to learn manufacturing, operations, and reliability engineering domains where data drives real decisions \nU.S. Citizen (required for facility access and government contracts) \nPREFERRED SKILLS AND EXPERIENCE\nExperience with machine learning in Python: scikit-learn for classification/regression, model validation, train/test splits, cross-validation \nFamiliarity with time-series analysis: plotting sensor trends, detecting change points, smoothing noisy signals \nExposure to data visualization tools: Grafana, Tableau, Plotly Dash, or similar dashboard frameworks \nUnderstanding of basic reliability concepts: failure rates, survival curves, mean time between failures (MTBF) \nPrior internship or project analyzing real-world operational data: manufacturing, logistics, quality control, IoT sensor data \nExperience with version control (git) and collaborative data analysis workflows \nCoursework or projects in industrial engineering, operations research, or quality management \nFamiliarity with data cleaning and wrangling: handling missing values, outlier detection, data quality assessment \nUnderstanding of experimental design: A/B testing, randomized controlled trials, confounding variables \nExposure to anomaly detection techniques: z-scores, control charts, boxplot analysis \nPrior work with manufacturing or hardware production data (even from coursework or academic projects) \nFamiliarity with Jupyter notebooks, literate programming, and reproducible analysis practices \nCOMPENSATION\nBase Salary: Denver: $75,000; Long Beach: $80,000\nADDITIONAL REQUIREMENTS\nWork Location -Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.\nWork environment -the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.\nPhysical demands -the physical demands of the job, including bending, sitting, lifting and driving.\nThis position will be open until it is successfully filled. To submityour application, please follow the directions below. #LI-Onsite\nTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.\nTrue Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\nTo protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our Privacy Notice.","description_format":"text","description_chars":8332,"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":["Equity","Flexible time off","Hybrid work","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Satellite Manufacturing","Space Services","Space Defense"],"lifecycle":[{"event":"open","at":"2026-08-25T18:35:15Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.828,"p_room":0.72,"age_days":52,"expected_fill_days":101,"reasons":["conf:2","velocity","win:mid","crowd:junior,brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/true-anomaly-software-engineer-i-data-science-new-grad","json_url":"https://alion.io/job/true-anomaly-software-engineer-i-data-science-new-grad.json","meta":{"generated_at":"2026-10-19T01:22:28Z","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":660,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":3381},"rest":"https://alion.io/mcp/rest/get_company?id=3381"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftrue-anomaly-software-engineer-i-data-science-new-grad"},{"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%2Ftrue-anomaly-software-engineer-i-data-science-new-grad"},{"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%2Ftrue-anomaly-software-engineer-i-data-science-new-grad"},{"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/true-anomaly-software-engineer-i-data-science-new-grad\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftrue-anomaly-software-engineer-i-data-science-new-grad"}]}