Director of Data Science (Skills Platform

Company: Pluralsight
Location: Boston
Posted on: April 10, 2021

Job Description:

Director of Data Science (Skills Platform) This position is also available for employment in these areas:Boston MA, Remote - USAJob Description:The Opportunity:In this leadership role, you will develop and execute on the Data Science strategy for the Skills Development organization; collaborating with technology and product leaders to drive innovative solutions to the team's meaningful problems. You will provide leadership in defining and prioritizing data science work streams to accomplish the organization's objectives.Reporting to the Head of Data Science, you will lead a team of data science professionals with deep skills in modeling & algorithms, statistics, analytics, visualization, and machine learning engineering. You will empower them with tools and environment to do their best work and drive measurable value to the business; jumping in and contributing to the work as needed.We're looking for someone with experience leading and delivering on Data Science initiatives, building positive relationships with product leaders, and mentoring Data Science professionals to achieve their full potential.Who you are :

• Results-oriented with an enormous drive to build the best product for our customers. You love to collaborate with product leaders and designers!
• Strategic problem solver, proficient with prioritization and partner engagement with the ability to paint and evolve a long-term vision, while executing on a near-term plan.
• Broad experience applying machine learning, statistical methodology, analytics, models, and algorithms to tackle exciting problems and enjoy keeping your hands on the keyboard and your technical skills sharp.
• Strong understanding of the technology sector, familiarity with software engineering, and experience with sophisticated systems and integration challenges.
• Compassionate and meticulous Data Science professional with emotional intelligence and maturity to work with highly capable and empowered team members while also genuinely interested in and engaged with the broader Data Science team at all levels.
• Thoughtful and artful communicator within your teams and across the broader organization.
• A strong coach and mentor, you know how to get the best from people!What you will own:
  • Be responsible for the development and execution of the Data Science and Machine Learning strategy for Skills Development. Create strategic alignment with product leaders and contribute to the organization and product strategy by bringing specialized technical expertise to the conversations. Co-own OKRs and delivery roadmap for key initiatives and product features with the Product team.
  • Build direct and deep relationships with product and engineering leaders, product managers, and technology partners. Act as a trusted advisor to Skills Development leaders, building and maintaining partnerships to develop a clear understanding of overall business, product, and technology strategy for the organization.
  • Build, grow, and direct a team of geographically dispersed Data Scientists and Machine Learning Engineers with expertise in machine learning, statistics, computer science, predictive modeling, econometrics, and other computational approaches to large scale data analysis. Lead the professional development of employees and maximize contribution and performance.
  • Work closely with the Data Science leadership team to create a best-in-class Data Science and Machine Learning subject area. Chip in to development of discipline-wide roadmap and identification of cross-organization and product-line opportunities. Develop, promote, and support Data Science principles and standard methodologies. Provide subject area thought leadership, keeping a pulse on cutting-edge technology, ensuring that Pluralsight remains at the forefront in the industry.Experience you'll need:
    • Typically requires 12+ years of related or equivalent experience; or 8+ years and an advanced degree. This experience should include strategic and/or people leader responsibilities.
    • Proven ability to focus efforts on the top business priorities, and to be accountable for keeping strategic results on track.
    • Experience in Data Science strategy development and strategic leadership in product development and/or business environments.
    • Hands-on experience in machine learning, deep learning, analytics, statistical methodology and demonstrated experience using these techniques to solve research and business problems.
    • Demonstrated ability building strong cross-team and cross-department partnerships for co-creating agreements.
    • Experience with API management, product instrumentation, analytics, continuous development and integration.
    • Experience recruiting, leading, coaching, and developing a team of results-oriented and highly skilled data scientists and machine learning engineers.
    • Proven knowledge of methodologies in Statistics, Data Science, Machine Learning, NLP, and AI. Understanding of related technologies (e.g. major programming languages, cloud services, and data platforms). Deep understanding and experience with machine learning use cases, trends, and industry.
      --#LI-LW#LI-Remote Pluralsight is the technology workforce development company that helps teams build better products by knowing more and working better together. Using our Skills and Flow products, teams can develop critical skills, improve processes and gain insights through data.-- We build this exciting product ecosystem by working with smart people and uniting behind a passion for what tech can create. We're a group of good-natured, nimble go-getters dedicated to helping people and businesses build better with technology. That means when we see opportunities to create, we go for it. We don't let the unknown stop us from solving challenges and winning together. And most importantly, we treat each other like adults. If you can see possibilities where others see problems, have candid conversations to ensure all voices are heard and thrive in a collaborative environment, you'll do some of the best work of your career here.--

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