Senior Data Scientist

About Anaconda

Be at the center of AI

With more than 47 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.

Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.

Summary

Anaconda is seeking Senior Data Scientist to join our internal Data & Analytics team. You will be working closely with our Product, Engineering, and Marketing teams as we roll out our new AI tools. Build out ML models including customer lifetime value, churn prediction, onboarding optimization, customer segmentation, sentiment analysis, anomaly detection and more. This is an amazing opportunity for you to leverage your experience and skills to help Anaconda push the limits of what’s possible with data science and AI.

What You’ll Do

• Develop and implement advanced machine learning models and algorithms to solve complex business problems
• Analyze large datasets using Python and other relevant tools in the Anaconda ecosystem
• Collaborate with stakeholders to identify opportunities for data-driven solutions
• Design and conduct statistical experiments to test hypotheses and validate results
• Create data visualizations and dashboards to communicate insights effectively
• Present results to stakeholders across the organization including senior leadership
• Contribute to the development of Anaconda's open-source data science tools and libraries
• Optimize data pipelines and workflows for improved efficiency and scalability
• Mentor junior data scientists and provide technical guidance to team members
• Stay up-to-date with the latest advancements in data science and machine learning
• Participate in the data science community through conferences, workshops, and publications

What You Need

• Strong proficiency in Python programming and its data science libraries (NumPy, Pandas, Scikit-learn) and implementing machine learning techniques (6+ years)
• Solid understanding of statistical analysis and hypothesis testing, and their practical applications
• Proficiency in using Git for version control and collaborative development
• Experience with SQL and NoSQL databases, including Snowflake or similar SQL cloud data warehouses
• Hands-on experience with AWS or equivalent cloud services
• Excellent communication skills to present complex findings to both technical and non-technical audiences
• Track record of delivering data-driven solutions in a professional setting
• You embody our values of Clarity, Care and Candor
• You care deeply about fostering an environment where people of all backgrounds and experiences can flourish

What Will Make You Stand Out

• Experience deploying and maintaining multiple machine learning models through to production that delivered quantifiable results
• Demonstrated success working for freemium or open source SaaS products in a cross functional environment

Why You'll Like Working Here

• Unique opportunity to translate strong open-source adoption and user enthusiasm into commercial product growth
• Dynamic company that rewards high-performers
• On the cutting edge of enterprise application of data science, machine learning, and AI
• Collaborative team environment that values multiple perspectives and clear thinking
• Employees-first culture
• Flexible working hours
• 100% remote
• Competitive benefits

The US base salary range for this role is $125,000 ~ $216,750 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed in each job posting reflects the minimum and maximum target salaries for the position across all US locations.

Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.

In addition to base salary, we offer a comprehensive benefits package that includes:

• Flexible Vacation Policy
• Medical, Dental, and Vision Insurance
• Short Term and Long Term Disability
• Paid Parental Leave
• Annual Remote Work and Wellness Stipend
• Employee Assistance Program and Mental Health Resources

Application deadline: There is no deadline; we accept applications on an ongoing basis.

__An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

____Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes. By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa MacIlwaine.

__Anaconda is an EEO/AA employer M/F/V/D.