Note: The job is a remote job and is open to candidates in USA. Taxwell is a leading digital tax filing platform that aims to help Americans maximize their tax refunds through innovative software. They are seeking a Data Scientist & Revenue Analyst to drive revenue optimization efforts by building and analyzing models that enhance revenue generation, collaborating with cross-functional teams to deliver impactful results.
Responsibilities
- Develop and refine models aimed at increasing revenue, ranging from simple predictive models to complex data science algorithms
- Collaborate with cross-functional teams to implement models in production, ensuring alignment with business objectives
- Act as a project manager for model implementation, coordinating efforts across teams to meet deadlines and ensure successful execution
- Make business cases detailing the expected impact and cost of these data projects, and prioritize accordingly
- Analyze the impact of implemented models, providing actionable insights to enhance future strategies
- Conduct deep dives into revenue performance metrics to identify trends and opportunities for optimization
- Work closely with business partners to translate data insights into actionable strategies that drive business value
- Prepare and present findings to stakeholders, including executive management, in a clear and concise manner
- Utilize advanced data visualization tools (e.g., Tableau) to support business decisions and communicate complex data in an easily digestible format
- Maintain a proactive mindset with a hands-on approach, ready to dive into details and challenge conventional approaches
Skills
- Master's degree in Business Analytics, Operations Research, Data Science, or a related quantitative field
- Strong foundation in data science and/statistics
- Strong experience in developing revenue optimization models, with a proven track record of driving measurable results
- Experience building Data Science models in Python and R
- Ability to manage projects from inception to completion, coordinating across teams and delivering on time
- Proficiency in analyzing large datasets of structured, semi-structured, and unstructured data to uncover insights
- Expertise in SQL for complex queries and dashboard creation, supporting both ad-hoc analysis and long-term monitoring
- Advanced skills in data visualization (e.g., Tableau), capable of creating dashboards that inform and influence business decisions
- Excellent communication skills, with the ability to present complex information clearly and persuasively to stakeholders at all levels
- A proactive, independent thinker with a strong 'can-do' attitude and the confidence to challenge the status quo
- Ability to deliver insights with creativity and pragmatism, ensuring a clear understanding of their implications for the business
Company Overview
Company H1B Sponsorship