Vericast is a big data company with staggering numbers: we receive over 100 billion intent signals daily, which we use to generate a deep understanding of in-market and individual person’s interest signals across 1,300+ interest topics. This is coupled with strong targeting from 30+ billion location signals collected daily from more than one million retail stores and 120+ million households.

Data Science plays a crucial role in delivering our solutions today and will play a more prominent role in our future. A typical data science project has a solid mathematical foundation, an exploratory dimension, and a data-driven workflow. This is also true at Vericast. Our data science projects have strong foundations on machine learning, data engineering, and modeling. We are building a privacy-centric future of digital advertising by focusing on web content. We are connecting web content to consumer interest and action, ultimately driving which ads are shown on a webpage.

To continue our journey, we are seeking data science experts who are passionate about using cutting edge technology and conceiving innovative methods to solve unique and complex problems. As a Senior Staff Data Scientist at Vericast, your contributions will help us stay at the forefront of the AdTech industry.

A Senior Staff Data Scientist is an expert who is passionate about all aspects of data science and can contribute by designing, conducting, and incorporating analyses of large-scale data from a wide variety of sources. This involves converting ambiguous requirements to concrete solutions for exploring data, designing and/or applying appropriate algorithms, documenting the findings, and incorporating the analysis into end-to-end systems and platforms. Effective communication with other job disciplines is required.

Key Duties & Responsibilities

• Have a wider impact by providing leadership into data science, digital media, and data engineering and by mentoring and leading other data scientists (25%)
• Act often as a technical lead, determining approach, objectives, requirements, features, milestones, implementation tasks, and tradeoffs of end-to-end large scale data science projects, platforms, and systems (25%)
• Act as a subject matter expert in data science (ML/AI) algorithms and underlying technologies (programming languages and systems) (15%)
• Design, conduct, and incorporate analyses of large-scale data from a wide variety of sources (15%)
• Work within the scrum practices in team projects (10%)
• Contribute to hiring process by screening higher level candidates, team interviews, manager candidates, i.e., act as a "Bar Raiser" (10%)

Education

• Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required)
• Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Desired)
• Doctorate Degree (Preferred)
• In lieu of the above education requirements, a combination of experience and education will be considered.

Experience

• 8 - 10 years Relevant Experience (Required)

Knowledge/Skills/Abilities

• Embodies a similar skill set to a Staff Data Scientist II, but demonstrates additional abilities to solve higher level problems, produces more impactful solutions and has a wider influence.
• Excellent analytical skills, with expertise and solid understanding of multiple statistical/analytical techniques applied at large scale.
• Strong technical proficiency in ML algorithms, scalable ML platforms, languages, and tools (Python, Spark, Java/Scala, ML/Ops) in a corporate setting is highly desirable.
• Prior experience in applying Data Science in Digital Marketing Technology is a plus.
• Systems thinker with a quantitative approach to problem solving.
• Ability to identify and determine technical tradeoffs between algorithms and model features.
• Ability to communicate effectively across multi-disciplinary teams (e.g., data science, engineering and product management

Salary: $160,000-$175,000. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.

Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and flexible PTO. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!

At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@vericast.com..

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