Senior Staff Data Scientist (Remote)

Company Description Vericast is a large-scale data company. On average, we process over 100 billion intent signals per day, generating in-depth insight into an individual's interests and in-market signals across 1,300 interest topics. This is coupled with potent geographic targeting, as we collect over 30 billion location signals daily from more than a million retail stores and over 120 million households. Data Science is crucial in delivering our current solutions and will play an increasingly significant role in our future. A typical data science project at Vericast has a strong mathematical foundation, an exploratory component, and a data-driven workflow. We base our data science projects on machine learning, data engineering, and modeling. We're building a privacy-centric future for digital advertising that focuses on web content. This approach connects web content with consumer interest and action, ultimately determining the ads displayed on a webpage. We are looking for data science experts passionate about using cutting-edge technology and devising creative methods to tackle complex problems. As a Senior Staff Data Scientist at Vericast, your contributions will help keep us at the forefront of the AdTech industry. Job Description As a Senior Staff Data Scientist, you will be a hands-on expert who is passionate about all aspects of data science. You will design and conduct analyses of large-scale data from a diverse range of sources, translating ambiguous requirements into concrete solutions. This involves creating appropriate algorithms, documenting findings, and integrating the analysis into solutions, systems, and platforms. Effective communication with various job disciplines is required. Your contributions should significantly exceed those of entry-level and mid-level Data Scientists. Key Duties & Responsibilities - Contribute insights and effective leadership into data science, digital media, and data engineering, while individually contributing and mentoring other data scientists. (25%) - Often act as a technical lead, defining approach, objectives, features, milestones, tasks, and trade-offs for large-scale data science projects, platforms, and systems. (25%) - Act as a subject matter expert in data science algorithms and technologies. (15%) - Design, conduct, and incorporate analyses from large-scale data from various sources. (15%) - Collaboratively work within team projects following scrum practices. (10%) - Act as a "Bar Raiser" in the hiring process, screening high-level candidates and conducting team interviews. (10%) Qualifications Education - Bachelor’s Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required) - Master's Degree in a quantitative discipline (Preferred) - Doctorate Degree (Desired) - In lieu of the above, a combination of experience and education will be considered. Experience - 8 - 10 years Relevant Experience (Required) Knowledge/Skills/Abilities - Strong analytical skills, specifically in statistical/analytical machine learning techniques applied on a large scale. - Technical expertise in ML algorithms, scalable ML platforms, languages, and tools (Python, Spark, ML/Ops) in a corporate environment is highly desirable. - Ability to communicate effectively across multi-disciplinary teams. - Previous experience in applying Data Science in Digital Marketing Technology, Graph Theory, Privacy, and Geolocation Data is a plus. Additional Information Salary: $160,000-175,000 The compensation offered for this position will depend on several factors like 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. We also provide a variety of other benefits, such as life insurance, employee assistance, and pet insurance. Our colleagues are smart and friendly! At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them. We are an Equal Opportunity employer. All applicants will be considered without regard to race, color, creed, religion, national origin, ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. If you have any disabilities, you may request accommodations to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity, please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. #LI-LC1 #LI-remote