VidMob is an award-winning Intelligent Creative Platform that provides an end-to-end technology solution for all a brand’s creative needs. It is an integrated platform combining first-of-a-kind creative analytics with best-in-class creative production to understand and improve marketing effectiveness.

We seek candidates that are curious, collaborative and committed to excellence. We take every hire seriously and only choose seriously talented team members. We care deeply about our employees and are dedicated to making VidMob an exceptional company to work for. VidMob is proud to offer comprehensive health plans paid for by the company, enhanced Maternity/Paternity Programs and unlimited vacation plans. We also provide employees with access to 401K plans, healthy food and snacks, and pre-taxed transit.

Responsibilities

• Lead, manage & mentor a team of junior and mid-level Data Scientists.
• Apply your expertise in quantitative analysis, machine learning, data mining, and data visualization to create an understanding of relationships between creative characteristics and ad performance data
• Capture business requirements for data and analytic solutions and collaborate cross-functionally to ensure requirements align with business needs
• Work with product management teams to develop data & machine learning roadmap and with data engineering teams to identify and implement data pipelines and tools to ensure efficient and seamless execution
• Work with product management teams and community management teams to fully instrument VidMob’s “services-in-the-loop” approach (for creative decision, strategic insights and more) in order to accelerate model development for insights and creative optimization
• Lead the development of our predictive algorithms across a number of different areas all with the aim of better understanding our customers and our business
• Iterate on existing and prototype new algorithms and work with engineering to integrate into our production code base
• Surface and analyze outputs from computer vision, optical character recognition (OCR) and machine learning
• Partner in the creation of technology, dashboards and user interfaces available to clients for understanding creative performance
• Institute quality control and ethical guidelines for algorithms, code, and outputs
• Work closely with our cloud partners to adopt AutoML solutions allowing our internal resources to focus on market differentiating work.

Qualifications

• 7+ years of experience in data science and machine learning
• 3+ years of experience leading a team of data scientists, including mentorship, support, and performance management
• Proven track record of delivering on practical research endeavors
• Strong knowledge of machine learning algorithms (supervised and unsupervised learning) and advanced statistics (time series forecasting, clustering algorithms, probabilistic models)
• Client centricity - an obsession with the client and ability to empathize; a natural bias towards taking a client-centric lens in how we frame, approach, and ultimately solve every problem the team works on
• Creativity - you believe data exploration and analysis is an inherently creative endeavor,  and you have a knack of solving problems in non-linear ways utilizing all resources available to you
• Curiosity and Forward Thinking - a natural and persistent inclination to explore, discover, and learn, and a general fascination with analytics. The drive to go beyond asking “what?” to ask “why?”; a commitment to digging beneath the surface and interrogating information versus accepting it at face value.
• Experience dealing with large and disparate data sets and analytics tools 
• Experience working in Computer Vision, NLP and regression modeling
• Experience with AWS AI/ML ecosystem and big data processing technologies (Redshift, Big Query)
• Experience with the full ML lifecycle, including research, development, deployment, and iteration on ML models using tools such as Sagemaker or MLFlow