Senior Staff Data Scientist (Remote)

Company Description
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.
Job Description
A Senior Staff Data Scientist is a hands-on 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. Contributions are expected at a level of results above and beyond entry-level and mid-level Data Scientists.
Key Duties & Responsibilities
Have a wider impact by providing insights and effective leadership into data science, digital media, and data engineering. This individual will have the hands-on skills to be an individual contributor and the experience for 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%)

Qualifications
Education

• Bachelor's 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

• Skill set above and beyond entry-level and mid-level Data Scientist, able to demonstrate additional abilities to solve higher level problems, produce more impactful solutions and have 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, ML/Ops) in a corporate setting is highly desirable.
• Deep understanding and experience in Graph Theory, Geolocation Data, ID Graphs, and Statistical Learning.
• Prior experience in applying Data Science in Digital Marketing Technology, Privacy and Probabilistic Geo Targeting 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, org leadership).

Additional Information
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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