Senior Staff Data Scientist (Remote)

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%)

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

• Strong analytical skills, with expertise and solid understanding of multiple statistical/analytical machine learning techniques applied at large scale.
• Technical proficiency in ML algorithms, scalable ML platforms, languages, and tools (Python, Spark, ML/Ops) in a corporate setting is highly desirable.
• Ability to communicate effectively across multi-disciplinary teams (e.g., data science, engineering and product management, org leadership).
• Prior experience in applying Data Science in Digital Marketing Technology, Graph Theory, Privacy and Geolocation Data is a plus.

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 [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.

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