FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSparkSQLTableau
About the role
Key responsibilities & impact- Clean, transform, and analyze large, complex datasets to identify trends, patterns, and insights relevant to business objectives.
- Assist in the development and implementation of statistical models, machine learning algorithms, and predictive analytics solutions.
- Prepare and present findings and recommendations to technical and non-technical stakeholders in a clear and concise manner.
- Collaborate with engineering, product, and business teams to understand data needs and translate them into actionable data science initiatives.
- Develop and maintain data visualizations and dashboards to monitor key performance indicators and track model performance.
- Participate in code reviews and contribute to maintaining high-quality, well-documented data science code.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
- Support data governance and data quality initiatives.
Requirements
What you’ll need- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Master's degree preferred.
- 1-3 years of professional experience in a data science, data analysis, or analytical role.
- Proficiency in Python or R for data analysis and statistical modeling.
- Strong understanding of statistical concepts, hypothesis testing, and experimental design.
- Experience with SQL for data extraction and manipulation.
- Familiarity with machine learning algorithms (e.g., regression, classification, clustering) and their applications.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Excellent problem-solving skills and a strong analytical mindset.
- Ability to communicate complex data findings effectively to diverse audiences.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark) is a plus.
Benefits
Comp & perks- Competitive total rewards (base salary + bonus, if applicable)
- Customizable benefits package (3 medical plans with Health Saving Account company match)
- Generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays
- Flexible time off for our exempt team members + 13 paid holidays
- Paid parental leave (including maternity + paternity leave)
- Education assistance opportunities and free LinkedIn Learning access
- Free mental health and family planning programs, including adoption assistance and fertility support
- 401(K) program with company match
- Pet insurance
- Employee resource groups
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonRSQLstatistical modelingmachine learning algorithmsdata visualizationdata analysispredictive analyticsdata governancedata quality
Soft Skills
problem-solvinganalytical mindsetcommunicationcollaborationpresentation skills