Standard Data Scientist Job Description
About [Company Name]
[Company Name] is a high-growth technology company on a mission to build products that empower modern teams. We value autonomy, rapid execution, and an inclusive culture where great ideas win.
About the Role
Join our AI & Data team as a Data Scientist to build predictive models, extract actionable insights, and deploy machine learning solutions into production.
Key Responsibilities
- Develop, validate, and operationalize machine learning models to solve core business problems.
- Extract, clean, and analyze large-scale structured and unstructured datasets using SQL and Python.
- Design and analyze A/B tests to measure feature impact and guide statistical decision making.
- Partner with software engineers to integrate ML models into low-latency production microservices.
- Communicate complex technical findings to executive stakeholders through clear visualizations and dashboards.
Required Qualifications
- Degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field.
- 3+ years of industry experience applying machine learning algorithms to real-world datasets.
- Advanced programming expertise in Python (pandas, scikit-learn, PyTorch, NumPy) and advanced SQL.
- Deep understanding of probability, statistical inference, regression, classification, and ranking.
- Experience with cloud data infrastructure (BigQuery, Snowflake, Databricks, or AWS Redshift).
Preferred Qualifications (Nice-to-Haves)
- Experience fine-tuning Large Language Models (LLMs) or implementing RAG pipelines.
- Familiarity with MLOps frameworks like MLflow, Kubeflow, or Weights & Biases.
- Published research or Kaggle competition track record.
Benefits & Perks
- Competitive compensation, equity, and performance bonuses.
- High-end hardware budget (MacBook Pro M3 Max or high-VRAM workstation).
- Comprehensive medical, dental, and vision coverage.
- Annual conference budget (NeurIPS, ICML, KDD).
- Flexible remote work hours.
Equal Opportunity Employer
[Company Name] is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, religion, color, gender, sexual orientation, or background.