SummaryAnaconda is seeking a talented Data Scientist, Product  to join our internal Data &amp; 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:<ul><li>Develop and implement advanced machine learning models and algorithms to solve complex business problems</li><li>Analyze large datasets using Python and other relevant tools in the Anaconda ecosystem</li><li>Collaborate with stakeholders to identify opportunities for data-driven solutions</li><li>Design and conduct statistical experiments to test hypotheses and validate results</li><li>Create data visualizations and dashboards to communicate insights effectively</li><li>Present results to stakeholders across the organization including senior leadership</li><li>Contribute to the development of Anacondas open-source data science tools and libraries</li><li>Optimize data pipelines and workflows for improved efficiency and scalability</li><li>Mentor junior data scientists and provide technical guidance to team members</li><li>Stay up-to-date with the latest advancements in data science and machine learning</li><li>Participate in the data science community through conferences, workshops, and publications</li></ul>What You Need:<ul><li>You have extensive experience as a data scientist collaborating with product and engineering teams, using data to identify key opportunities and clearly communicate its impact</li><li>You have strong proficiency in Python programming and its data science libraries (NumPy, Pandas, Scikit-learn)</li><li>Extensive experience with machine learning techniques and their implementation in Python</li><li>Solid understanding of statistical analysis and hypothesis testing</li><li>Proficiency in using Git for version control and collaborative development</li><li>Familiarity with SQL and NoSQL databases</li><li>Experience with AWS or equivalent cloud services</li><li>Experience with Snowflake or similar  SQL cloud data warehouse</li><li>Strong analytical and problem-solving skills</li><li>Track record of delivering data-driven solutions in a professional setting</li><li>Team attitude: “I am not done, until WE are done”</li><li>Embody our core values:     </li><li><ul><li>Great People</li><li>Great Product</li><li>Great Performance</li></ul></li><li>Care deeply about fostering an environment where people of all backgrounds and experiences can flourish </li></ul>What Will Make You Stand Out:<ul><li>Experience deploying and maintaining multiple machine learning models through to production that delivered quantifiable results</li><li>Demonstrated success working for freemium or open source SaaS products in a cross functional environment</li></ul>Why You’ll Like Working Here:<ul><li>Unique opportunity to translate strong open-source adoption and user enthusiasm into commercial product growth</li><li>Dynamic company that rewards high-performers</li><li>On the cutting edge of enterprise application of data science, machine learning, and AI</li><li>Collaborative team environment that values multiple perspectives and clear thinking</li><li>Employees-first culture</li><li>Flexible working hours</li><li>Medical*, Dental*, Vision*, HSA*, Life* and 401K*</li><li>Paid parental leave - both parents</li><li>Monthly productivity stipend </li><li>Open vacation policy* </li><li>Quarterly Snake days (company-wide bonus day off)</li><li>100% remote </li></ul>*FTE employees based on your region 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 Sydney Artt.This job post expires 30 days from its original post dateAnaconda is an EEO/AA employer M/F/V/D.

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