Data Science Leader

Key Skills

Python Programming, SQL, Cloud computing

Job Description

Anaconda is the world’s most popular data science platform. With more than 26 million users, the open source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion 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 and groundbreaking research.

Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other.

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 a talented Data Science Leader to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.

What You’ll Do:

• Apply data science to our offerings and data about the data science community 
• Own innovation initiatives focused on key data science deliverables. Drive innovation and research working effectively with cross functional teams and drive data science thought leadership in research initiatives
• Identify and monitor and research new ways of using data to solve business problems
• Develop new analytic innovations and be able to present them to stakeholders in a compelling way, demonstrating value and differentiation, and drive the impact of our products and services
• Serve as the subject matter expert for all things data science, bring expertise to our users offering more visibility to the analytic innovations and process behind innovation, including speaking engagements, collateral development, and presentations
• Be a trusted advisor on use of data science technologies and listen to stakeholders’ challenges to drive Anaconda’s innovation forward
• Track the fields of data science, machine learning, artificial intelligence, and deep learning—staying abreast of current trends and making recommendations how these advancements might be leveraged within Anaconda.
• Manage data projects, ensuring stakeholder engagement, status updates, and issue escalation
• Partner with Product and Engineering to ensure the required instrumentation is built into our products and services
• Support the management of incoming demand, assign work to team, and facilitate further scoping and coordination as needed
• Coordinate with Learning and Development on the creation of Insights & Data-Driven Culture, Data Literacy content and campaigns
• Partner with technology to build the data infrastructure required to support our goals
• Drive data driven decisions to positively impact our ability to achieve our business objectives
• Build impactful business intelligence dashboards, tools, and apps providing insights from our data.
• Be a proactive partner within the product organization improving the customer experience with data that helps to prioritize work drives faster iteration and experimentation
• Support the design, development, and iterative improvements of weekly reports and monthly business reviews
• Lead a team of data scientists and business analysts that you partner with to achieve these outcomes

What You Need:

• Degree in statistics, mathematics, computer science, engineering, economics, or related field
• Minimum of 10 years of related experience.
• Team leadership and people management experience
• Technical hands-on experience will include employing machine learning, mathematical/statistical modeling, pattern recognition, or data mining on real world problems and knowledge of python for analytic innovations integration into production software
• Familiar with Anaconda Distribution and the pydata ecosystem
• Prior experience (partnering with internal cross functional teams like product management, marketing, sales) driving high quality/on-time analytic development programs and driving analytic innovation into business processes and offerings.
• Excellent communication skills both written and verbal with examples of published work and conference presentations
• Experience in open source and data science advocacy
• Team attitude: “I am not done, until WE are done”
• Embody our core values:
• Ability & Humility
• Innovation & Action
• Empathy & Connection
• Care deeply about fostering an environment where people of all backgrounds and experiences can flourish 

What Will Make You Stand Out:

• Experience working in a fast-paced startup environment
• Experience working in a open source or data science-oriented company

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
• Medical, Dental, Vision, HSA, Life and 401K
• Health and Remote working reimbursement 
• Paid parental leave - both mothers and fathers
• Pre-IPO stock options
• Open vacation policy and monthly company days off known as Snake Days
• 100% remote and flexible working policy – we embrace this fully through how we operate as a company.