
Data Scientist – BI, Advanced Analytics
Particle41
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSPythonSQLTableau
About the role
- Develop and implement statistical models and machine learning solutions to solve real-world business problems
- Analyze large, messy datasets and apply rigorous data cleaning, feature engineering, and validation techniques
- Build predictive and descriptive models to identify trends, patterns, and opportunities
- Design and execute experiments (A/B tests, hypothesis testing, model evaluations)
- Partner with stakeholders to translate business questions into analytical approaches
- Create clear visualizations and narratives that communicate findings to technical and non-technical audiences
- Collaborate with data engineers to productionize models and analytics pipelines
- Leverage AWS services to build scalable, secure data science solutions
Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
- 3+ years of experience in data science, analytics, or applied machine learning roles
- Strong programming skills in Python (R acceptable as secondary)
- Hands-on experience with machine learning techniques (e.g., regression, classification, clustering, forecasting)
- Proficiency in SQL and working with relational and analytical data stores
- Experience cleaning and preparing large, complex, or unstructured datasets
- Experience using data visualization tools (e.g., Tableau, QuickSight, Power BI, or similar)
- Strong analytical thinking, problem-solving skills, and attention to detail
Benefits
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical modelsmachine learningdata cleaningfeature engineeringA/B testinghypothesis testingPythonSQLdata visualizationpredictive modeling
Soft skills
analytical thinkingproblem-solvingattention to detailcommunicationcollaboration