Data Scientist
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Job Description
Data Scientist developing AI-enabled applications in a remote role at Xcelerate Solutions. Focus on data science and advanced analytics to drive operational decision-making.
Responsibilities:
- Conduct data discovery and exploratory data analysis (EDA) across structured and unstructured data
- Perform data cleansing, normalization, aggregation, and modeling
- Design and build analytic applications in Palantir Foundry, including dashboards and interactive workflows
- Apply advanced analytics and statistical methods (e.g., regression, clustering, hypothesis testing, A/B testing)
- Develop and embed AI/ML capabilities (e.g., LLMs, NLP, RAG/GraphRAG) into analytic workflows
- Create clear visualizations and metrics to support executive and operational decision-making
- Collaborate in an Agile/Scrum environment to rapidly iterate on solutions
- Communicate insights effectively to technical and non-technical stakeholders
Requirements:
- Strong experience in data science and analytics, including EDA, data wrangling, modeling, and statistical analysis
- Proficiency in Python for analytics and data pipelines (e.g., pandas, polars, PySpark)
- Experience with AI/ML and statistical modeling tools and python libraries (e.g., scikit-learn, statsmodels, Prophet; NLP tools such as spaCy or NLTK)
- Experience building production-grade analytics (apps, dashboards, notebooks)
- Experience with data visualization i.e using Python libraries (matplotlib, seaborn, plotly) and/or BI tools (PowerBI, Tableau, Qlik)
- Comfort working in a dynamic Agile/Scrum environment with evolving or loosely defined requirements
- Strong communication skills with the ability to explain insights to non-technical audiences
- Background in statistics, mathematics, operations research, or applied sciences
- Experience with Palantir Foundry, Databricks, or similar data platforms
Benefits:
- Health insurance
- 401(k) matching
- Flexible work arrangements
- Professional development opportunities
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