Senior Data Scientist - Research and Analytics

We are 400+ employees from a diverse group of backgrounds that hail from more than 50 countries and speak 15 languages. But, we all share one thing in common: we're passionate about accelerating software innovation. Our vision is to put Nexus products at the center of every open-source decision modern engineering organizations make. 
We support our remote employee experience. While we have great office spaces in the Fulton, MD, Tyson's Corner VA, London UK, and Sydney AUS, we're very distributed and remote first (and always have been). We use several communication tools to connect across the company—and all remote employees have the opportunity to visit our offices and meet their teams face-to-face at team meetups. We also have an annual company meetup to get quality in-person time with the entire company at least once a year.
Learn more at www.sonatype.com.

We are looking for team members who want to help us change how the world innovates through software. The Sonatype team has already done this through its contributions to the Maven build system, the Nexus Repository Manager, and most recently with the Nexus Lifecycle product suite – literally changing the way the world builds and delivers software across thousands of organizations and millions of developers.
That was just the beginning. We need your help so that we can do it again. If you are interested in delivering value across nearly every decision made in the world of software development to help companies build better and safer software faster, to transform innovation through software, read on.

Who you are and what you'll do

• You are an expert data scientist ready to define and tackle questions at the edge of our existing business model and to help us further innovate in our work for the enterprise and open-source communities.
• You will work collaboratively with data engineers and data analysts on the RNA team to build short-term prototypes and proof of concepts for our long-term vision.
• You are business intelligence-oriented and are interested in customer statistics, product popularity, segmentation, etc.
• You will build ML/AI models to prove or disprove hypotheses quickly.
• You will work with large data sets to provide insight into timely business-critical questions.
• You will be a storyteller for data science, helping the team and users on the journey to understanding our data.

What skills you need

• You have a BS, MS, or Ph.D. in Data Science, Computer Science, Statistics, or equivalent experience.
• You have 3+ years of work experience in data science or a related field.
• You have experience working with data lakes and data warehouses and working in a notebook environment (e.g., Databricks, Jupyter Notebook)
• You have experience with at least one commonly used data science programming language (e.g., Python, Scala, SQL)
• You have experience with multiple machine learning packages, platforms, and tools (e.g., pandas, scikit, NumPy, Spark)
• You have experience working with data visualization tools (e.g., d3, plotly)
• Also, we know it’s tough, but please try to avoid the confidence gap.​ You don’t have to match all the listed requirements exactly to be considered for this role.

Things we are proud of

• Fast Company Top 50 Companies for Innovators 2018, 2019, and 2020
• 2019 Best Places to Work Washington Post and Washingtonian
• 2019 Wealthfront Top Career Launch Company
• EY Entrepreneur of the Year 2019
• Diversity & Inclusion Working Groups
• Parental Leave Policy
• Paid Volunteer Time Off (VTO)

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At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity, and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know.

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