Do you want to empower organizations to fairly and equitably hire, promote, retain and compensate their employees? Syndio is a Series-C technology company committed to fairness in the workplace. Fueled by investments of $83M from Bessemer Ventures, Voyager Capital and social change organization Emerson Collective, Syndio is investing in growing our team and products.

This is a critical moment when organizations are looking for ways to take tangible action to fight gender and racial bias, and we believe creating diverse and inclusive workplaces for all starts with workplace equity

As the Director of Data Science you will bring leadership to expand our methodologies, maximize the impact from data science, and manage a team that will use these core assets to have a big impact on the Syndio products.

In this role you will be hands-on working within Data Science, ML, AI, and NLP. You will evangelize these fundamentals throughout the company by engaging in technical discussions with engineering and business leaders.

• Lead modeling, including the introduction of new and innovative to existing problems as well as the methodology of causal inference and experimental design
• You will collaborate with leadership to establish a road-map and vision for your team to support the large and growing data products that will directly impact company strategy and direction
• You will apply your expertise in machine learning, quantitative analysis, experimentation and the presentation of data to build ML, AI and Optimization capabilities in Syndio products.
• You will be responsible for partnering closely with the Product team to expand our Data products
• You will manage a highly skilled team of data scientists and a data engineer by providing a positive work environment by coaching and advocating for them.
• You will drive applied research partnerships with business and technical leaders across the company
• Analyze and evaluate existing and new data sources and apply the right analytical methods to facilitate insight generation in our market research product
• Identify, interpret, and predict trends or patterns in complex data sets
• Research and deploy statistical methods to improve the accuracy and reliability of the data
• Design and implement complex big data ETLs to drive core functionalities of our products
• Locate and define new process improvement opportunities for our data products

• Leadership experience within data science field
• Extensive industry experience in data science, machine learning, or a related technical field
• Experience in causal research including the deployment of models in a real world setting
• Experience supporting statistical methods and detailing their implications as well as manipulating different data sets to identify clear insights
• Experience designing applied research road map and executing the vision behind it
• Track record of delivering products that leverage applied science that influence product and engineering decisions
• Ability to translate complex business problems into achievable and actionable analytic projects
• Strong quantitative background and experience working with large data sets
• Advance knowledge of SQL, Python, and software development best practices

At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.

Employees joining the Syndio team at this early stage of growth will impact this critical social issue and support a growing customer base (including Nordstrom, General Mills, Match Group, and others) to take tangible action on workplace fairness.

Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.