- Full Time
- Company: Taxwell
- United States (Remote)
Taxwell
Taxwell helps everyday Americans get every tax advantage they deserve by finding credits and deductions they never even knew existed. Our tax preparation software offers easy guidance and ensures your maximum tax refund. We strive to build a team of like-minded experts in both tax and technology who align with our brand purpose, are advocates for our customers and have a fresh, non-traditional approach to the tax industry.
TaxAct is a leading digital tax filing platform which offers customers do-it-yourself digital and downloadable products that are easy-to-use, best-in-class technology, and provide unparalleled customer support. We are a trusted solution for all users including those with complex tax returns. We strive to attract and retain candidates who exemplify our values: performance, perseverance, progress and partnership. TaxAct is a member of the Taxwell family of products. We are an organization of forward thinkers looking to add industry experts to our growing team.
This role will primarily support TaxAct as the organization helps everyday Americans file their taxes. We seek to build a team of experts in tax and technology who are customer advocates and have the mindset to reimagine the services our customers receive.
Senior Data Scientist is accountable to deliver models to optimize marketing spend, create personalized engagements, and drive customer retention across both our tax preparation and wealth management businesses.
Work Location: 3200 Olympus Blvd., Suite 110, Coppell, TX 75019 [and various unanticipated locations throughout U.S.; may work from home].
Responsibilities:
- Responsible for providing data, performing data analysis and statistical modeling, and utilizing machine learning.
- Deliver statistical models to drive organizational insights and key business actions.
- Partner closely with the business including marketing and product teams to understand and optimize the customer journey.
- Provide insight into market segmentations, customer journeys, and the customer experience with a high level of accuracy using analysis, predictive modeling, and machine learning.
- Assemble and clean data for modeling purposes. Write and interpret complex SQL queries.
- Complete model selection, build, and testing. Engage with the broader data science organization to support, refine, and test large-scale data science projects.
- Deploy visualization techniques to deliver insights to end-users. Summarize and report key analytical findings and recommendations in both oral and written forms to various technical and non-technical teams.
- Design, code, implement, and maintain analytical and machine learning applications utilizing data to provide valuable insights.
- Provide necessary documentation and upgrade to newer technologies based on project needs.
- Extensively work on projects using Python, R, SQL, Machine Learning, data mining, data transformation and processing, Tableau, SVN, Git, Oracle, AWS, Snowflake, and MS SQL Server.
- Analyze large amounts of information to find patterns and solutions.
- Carry out preprocessing of structured and unstructured data. Process, cleanse, and validate the integrity of data to be used for analysis.
- Develop prediction systems and machine learning algorithms.
- Present solutions and strategies to tackle business challenges.
- Utilize statistical modeling techniques including regression, classification, hypothesis testing, and unsupervised learning.
- Provide necessary documentation and upgrade to newer technologies based on project needs.
- Work on projects using Python, Tableau, R, SVN, Git, Oracle, and MS SQL Server.
Minimum Requirements:
Requires a Master’s degree, or foreign equivalent degree, in Statistics, Data Analytics, Information Systems, or Engineering Management and one (1) year of experience in the job offered or one (1) year of experience in a related occupation providing necessary documentation and upgrading to newer technologies based on project needs; and working on projects using Python, Tableau, R, SVN, Git, Oracle, and MS SQL Server.
At Taxwell, we believe our work benefits from the diverse perspectives of our employees. As such, Taxwell welcomes and celebrates diversity and inclusion and is committed to equal opportunity employment. At Taxwell, you can expect a supportive, open, and inclusive atmosphere and a team that values your contributions.
Taxwell is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity, veteran status, and any other status protected under applicable law. Taxwell considers information gathered in the hiring process, including information on this application, confidential, and only shares it on a need-to-know basis or as required by law.
If you need assistance or accommodation due to a disability, you may contact us at HR@Taxwell.com or by calling 828-349-5703 extension 6049 to speak with a member of the HR Talent Acquisition team.
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