About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Job

We are seeking a highly skilled Manager of Data Science with a strong background in designing, building and deploying machine learning applications in production environments. The ideal candidate will have a proven track record in leading data science teams to deliver innovative machine learning solutions that enhance programmatic advertising performance.

What you’ll be doing: 

• Coach, develop, and lead a team of data scientists building machine learning solutions across multiple product lines.
• Architect and manage the deployment of thigh-performance machine learning solutions in the cloud, ensuring reliability, efficiency, and cost-effectiveness.
• Drive the evolution of machine learning systems and data-driven techniques to improve programmatic advertising yield and efficiency.
• Collaborate with product managers, data scientists, and other stakeholders to define product vision and roadmap, aligning development efforts with business goals and customer needs.
• Foster a culture of innovation, technical excellence, and continuous improvement within the data science team.
• Manage the entire machine learning development lifecycle, from planning and prioritization to testing and release.
• Provide strategic direction, development oversight, and performance accountability for Sovrn’s cross-product data science efforts.
• Monitor system performance, anticipate potential issues, and implement proactive solutions to ensure optimal uptime and user experience.
• Spot, attract, and retain top-tier data science talent.

A successful candidate will have: 

• 5+ years of experience in data science, with at least 2 years in a leadership role.
• Experience with the digital advertising ecosystem, including SSPs, Ad Exchanges, DSPs, and related technologies preferred.
• Experience with deep learning frameworks such as TensorFlow, PyTorch and Keras.
• Experience in cloud computing platforms, preferably AWS or GCP.
• Familiarity with MLOPs frameworks such as Kubeflow and MLFlow.
• Proven ability to manage and resolve complex technical issues.
• Demonstrated experience in developing and deploying machine learning models to solve business problems, particularly in the context of programmatic advertising or digital marketing.
• Familiarity with software development best practices and agile methodologies.
• Excellent problem-solving, analytical, and technical skills.
• Strong communication and leadership abilities, with a track record of mentoring and developing data science talent.
• Experience building, operating, and scaling high performance, highly transactional systems
• Passion and drive to help the team improve and deliver great products.
• Active listening and respect for others opinions and ideas.
• Experience working closely with Product Management and Creative teams to design new features and empower the engineering teams to develop them.
• Experience working with remote engineering teams geographically distributed across the world.
• Bachelor’s or higher degree in an analytical area such as computer science, physics, mathematics, statistics, or engineering, or equivalent experience.

Position Reports to: Senior Director, Data Science & Data Engineering

Location: This position is designated as hybrid and is based in our Boulder, Colorado office. Applicants should be able to commute to our Boulder location as required. #LI-Hybrid

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability impact, and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role, and we encourage you to apply if your experience is close to what we're looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

In accordance with the Colorado Equal Pay for Equal Work Act, the approximate compensation range for this role in Boulder, Colorado is $160,000 to $185,000 salary and any related bonuses or commissions. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills and certifications.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental and vision coverage, short and long term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Equal Opportunity Employer 

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. Reasonable accommodations will be made to meet the requirements of the Americans with Disabilities Act and will be provided as requested by candidates taking part in all aspects of the selection process. 

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.