Senior Data Scientist Position Available In Durham, North Carolina

Senior Data Scientist 3.1 3.1 out of 5 stars Durham, NC 27701 •

Remote What You’ll Do:

As a Senior Data Scientist , you will be at the heart of our mission to transform data into relevant insights that inspire the business’ success. You will help deciding on the best approach to applying complex datasets to achieve targeted outcomes. You will collaborate with data engineers to ensure that solutions are built on top of valid data and with partners to ensure that solutions deliver actual value. You will work remote in the United States (#LI-Remote) reporting to a Senior Manager of Data Science. This role is note eligible for visa sponsorship.

What Your Responsibilities Will Be:

Data Analysis:

Use advanced statistical and machine learning techniques to analyze large datasets, identify trends, and extract relevant insights.

Model Development:

Build machine learning models and algorithms to solve complex business problems.

Data Engineering:

Collaborate with data engineers to ensure data availability, quality, and reliability for modeling purposes. Develop data pipelines and workflows.

Experimentation:

Plan and complete A/B tests and experiments to evaluate the effectiveness of algorithms, and strategies.

Collaboration:

Work with teams to maximize the growth of our internal data products.

Communication:

Present insights to all partners, providing guidance on data-driven decision-making processes.

Research and Progress:

Stay up-to-date with the latest developments in data science, AI, and machine learning, and apply new techniques to enhance our products and services What You’ll Need to be

Successful:

3+ years of experience in data engineering or data science roles, with experience delivering impactful solutions. You have an ability to work on complex, unstructured problems. Proficiency in programming languages such as Python, SQL, and experience with data manipulation libraries and frameworks. Experience of data warehousing concepts and experience with data warehousing technologies (e.g., AWS Redshift, Google BigQuery, Snowflake). Experience translating complex findings to non-technical partners. Bachelor’s degree in Computer Science, Data Science, or a related field. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with data visualization tools (e.g., Tableau, Power BI) and dashboard development.

How We’ll Take Care of You:

Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.

What You Need To Know About Avalara:

We’re Avalara. We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business . Our growth is real, and we’re not slowing down until we’ve achieved our mission – to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.