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 solutions, 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 genero