Principal Data Scientist

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 Principal Data Scientist at Vericast, your contributions will help us stay at the forefront of the AdTech industry. 

Job Description

The Principal Data Scientist is an expert who is passionate about all aspects of data science and can contribute by designing, conducting, and incorporating analyses of data from end to end and 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 the system.

The ideal candidate deeply understands how data can be used to tell a story and inform decisions. The Principal Data Scientist is an insightful visionary and a hands-on contributor who is excited about the complexities and challenges involved in creating intelligent, high-performance systems while working with a talented, experienced, and driven data science team.

The Principal Data Scientist will be an integral part of a cross-disciplinary team working on highly visible projects that improve performance and grow the intelligence of our product offerings. Our day-to-day work is conducted in a progressive, high-tech workspace where we focus on a friendly, collaborative, and fulfilling environment. Our data science and engineering teams hold frequent team activities like hackathons and sandboxes that will help grow your skills and curiosity.
 

KEY DUTIES/RESPONSIBILITIES

• Understands team data domain. (10%)
• Understands and follows sound data science methodologies. (10%)
• Communicates effectively across multi-disciplinary teams and interacts effectively with customers and end users. (10%)
• Understands how to improve current data science methods, services, systems, and products already in place across the organization. (15%)
• Ability to design, develop, deliver, and lead data science projects from end to end. (20%)
• Contribute significantly to analyses, design, and implementation. (10%)
• Contribute significantly to the design and development of data algorithms and/or underlying technologies. (15%)
• Demonstrates leadership (leading projects, mentoring new hires, plays a leading role in PI planning, etc.). (10%)

Qualifications

• Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required)
• Doctorate Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Preferred)
• In lieu of the above education requirements, a combination of experience and education will be considered.
• 10+ years relevant experience is required
• Deep focus on execution, follow-through, accountability, and results.
• Ability to churn through and gain insights from high volumes of data using cloud and distributed processing frameworks, including Spark, Hadoop, Map Reduce.
• Expert knowledge of data science methods, programming languages, and platforms.
• Ability to create data-driven presentations and reports for technical and non-technical stakeholders.
• Ability to assess technical tradeoffs between algorithms and model features.
• Can assess technical tradeoffs between algorithms and model features.

Additional skills required: data exploration, algorithm knowledge and creation, technical communication through documentation and/or visualization

Additional Information

Salary: $175,000-$200,000. 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 matching 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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