Varite
Pay Rate: $52.81 - $54.22
Note: This Role can completed remotely.
The Role:
Required Skills:
Proficiency in SQL and Programming Languages:
Note: This Role can completed remotely.
The Role:
- We are seeking a highly skilled and motivated Data Science Engineer to join our dynamic team.
- In this role, you will be responsible for designing, implementing, and optimizing data-driven solutions that empower our organization to make informed decisions.
- If you are passionate about working with data, solving complex problems, and collaborating across teams, we want to hear from you!
- Collaborate with cross-functional teams to identify business needs, provide insights, and translate requirements into technical solutions.
- Analyze business and financial data to provide actionable recommendations for automation and process improvements.
- Create and maintain dashboards and visualizations to effectively communicate data insights.
- Support metrics development for key outcomes like customer retention, propensity to convert, and churn prediction.
- Design, develop, and maintain data pipelines and workflows to support analytical and operational needs.
- Develop and maintain sophisticated quantitative models to improve decision-making by analyzing historical data and conducting scenario analysis.
Required Skills:
Proficiency in SQL and Programming Languages:
- Strong experience with SQL for querying and managing data, and expertise in Python or similar programming languages for data analysis and modeling.
- Demonstrated ability to approach complex problems methodically, analyze data critically, and deliver actionable insights.
- Hands-on experience with tools like Tableau, Power BI, or equivalent for creating compelling and informative visualizations. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of statistical analysis and machine learning techniques.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Familiarity with PLG (Product-Led Growth) strategies and metrics is a plus.
- Strong understanding of statistical methods, hypothesis testing, and experimentation design. (optional).
- 5+ years of relevant experience is required.