Data Scientist Manager, Tremor Video

• Are you a data-driven innovator ready to tackle massive-scale challenges?
• With proven experience in data science, machine learning, and statistical modeling, you'll bring a passion for problem-solving and a knack for turning data into actionable insights
• Strong programming skills in Python, SQL, Node.js, Spark and other relevant tools are essential, as is a collaborative mindset and a desire to work in a fast-paced, agile environment
• MS/PhD in Computer Science / Engineering or a related technical field
• 5+ years of experience in Ad tech
• 10+ years of experience in data science, ML, and statistical modeling
• 3+ years of experience managing data science teams
• Strong problem-solving and analytical skills, including experience with statistical analysis and hypothesis testing
• Results-driven mindset, with a focus on delivering measurable business impact
• Excellent communication skills, with the ability to present complex insights to diverse audiences
• Proficient in Python, SQL and ML modeling. Hands on experience with Tensorflow, Keras or similar technologies is a plus. Deep understanding of the programmatic advertising ecosystem, including RTB, DSPs, and SSPs
• Experience in hiring, onboarding, and developing data science professionals

Desirable

• We're seeking a Data Scientist Manager to join our high-performing team in Bellevue, WA
• You'll lead and spearhead the development and deployment of groundbreaking data solutions, collaborating with talented engineers and product experts to transform complex problems into elegant solutions
• You're team will process and analyze hundreds of billions of data points daily, uncovering actionable insights. By exploring and implementing state-of-the-art technologies, you'll stay ahead of the curve
• Design and oversee the development of scalable data science driven solutions for SSPs including but not limited to real time bidding optimization, win-price estimation etc., that deliver business impact
• Lead and mentor a team of data scientists, fostering a culture of innovation and teamwork while collaborating with cross-functional teams, including engineering and product, to align with business goals
• Communicate technical insights to stakeholders, both technical and non-technical
• Drive hiring efforts, including sourcing, interviewing, and onboarding top data science talent to build a strong and scalable team