- Company Name
- X, The Moonshot Factory
- Job Title
- Data Scientist (Tapestry)
- Job Description
-
**Job Title**
Data Scientist
**Role Summary**
Drive data‑driven decision making for an AI‑powered electric grid startup. Build scalable data pipelines, conduct sophisticated analytics, develop machine‑learning models, and translate findings into actionable business insights to optimize grid operations and partner performance.
**Expectations**
- 5+ years in tech/energy data science or quantitative analytics roles.
- Master’s or PhD in a quantitative discipline.
- Proven expertise in statistical modeling, ML/Deep Learning, and time‑series forecasting.
- Experience with large‑scale, real‑time data environments and cloud services.
- Strong cross‑functional collaboration with engineering, product, and executive stakeholders.
**Key Responsibilities**
- Design, build, and maintain end‑to‑end data pipelines for structured, semi‑structured, and unstructured data.
- Perform exploratory data analysis, statistical modeling, forecasting, and optimization on grid‑related datasets.
- Develop and deploy ML models (tree‑based, deep learning, CV, LLMs, time series) for predictive and prescriptive insights.
- Create model evaluation frameworks, monitoring, and production‑ready deployment pipelines.
- Build interactive dashboards, visualizations, and clear presentations for multi‑level stakeholders.
- Collaborate with software engineering teams to embed models into scalable production systems.
- Lead, mentor, and manage a diverse team of data scientists, setting priorities and ensuring methodological rigor.
- Translate complex technical findings into strategic recommendations for business leaders.
**Required Skills**
- Programming: Python (pandas, numpy, scikit‑learn, TensorFlow, PyTorch) and SQL.
- Statistical techniques: linear & multivariate models, stochastic modeling, sampling & inference.
- Machine learning: supervised/unsupervised learning, deep learning, time‑series forecasting, computer vision, LLM fine‑tuning.
- Big data & cloud: AWS/GCP/Azure services, S3/BigQuery/Redshift, Spark/Databricks, Kafka/Flink/Spark‑Streaming.
- Data visualization: Tableau, Power BI, matplotlib, seaborn, plotly.
- Strong analytical judgment, business acumen, and communication skills.
- Team leadership and cross‑functional influence.
**Required Education & Certifications**
- PhD or Master’s in Statistics, Computer Science, Electrical Engineering, Applied Mathematics, Data Science, or a related quantitative field.
- Professional certifications (e.g., Microsoft Azure Data Scientist Associate, Google Cloud Professional Data Engineer) are a plus.
**Domain Expertise**
- Deep knowledge of electric power grid data and physics‑based understanding of electrical networks and utility operations.
- Experience applying ML to large datasets in the energy sector.
Mountain view, United states
On site
Mid level
31-10-2025