Software Engineer I, Data Science (New Grad)
True Anomaly · Denver, CO or Long Beach, CA
Posted 22 days ago
or apply directly on True Anomaly's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days True Anomaly's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 95% of True Anomaly's roles list one
- Ghost-job risk at True Anomaly
- low 0 stale, 4 reposted of 183 open
- Hiring momentum
- 220 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from True Anomaly's own greenhouse board since 2026-08-03. Full hiring picture for True Anomaly.
About this role
As a Software Engineer I in Data Science at True Anomaly, you will analyze spacecraft data to generate actionable insights that enhance manufacturing and operations. Your responsibilities include building dashboards, training predictive models, writing SQL queries, and monitoring telemetry streams to identify anomalies and improve spacecraft health. This entry-level role involves hands-on data analysis and visualization, supporting both pre-launch and post-launch activities.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of True Anomaly as an employer.
What you need
- Bachelor's or Master's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or related quantitative field
- Proficiency in Python for data analysis: pandas, numpy, matplotlib, seaborn
- Working knowledge of SQL for querying relational databases: SELECT, JOIN, GROUP BY, aggregation functions
- Coursework in statistics: hypothesis testing, regression, probability distributions, experimental design
- Ability to create clear visualizations that communicate insights to technical and non-technical audiences
- Strong curiosity about how things fail and how data can predict failures before they happen
Nice to have
- Experience with machine learning in Python: scikit-learn for classification/regression, model validation, train/test splits, cross-validation
- Familiarity with time-series analysis: plotting sensor trends, detecting change points, smoothing noisy signals
- Exposure to data visualization tools: Grafana, Tableau, Plotly Dash, or similar dashboard frameworks
- Understanding of basic reliability concepts: failure rates, survival curves, mean time between failures (MTBF)
- Prior internship or project analyzing real-world operational data: manufacturing, logistics, quality control, IoT sensor data
What you get
- Base Salary: Denver: $75,000; Long Beach: $80,000
Worth weighing
- This is a 3 month temporary employment engagement with potential for conversion to regular employment based on performance and business need.
- Some work must be done on site despite a hybrid work environment.
- No specific details on additional benefits or perks beyond salary are provided.
Summarised from True Anomaly's posting. Read the full original.
Listed by True Anomaly on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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