Senior Data Scientist 3
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Job Description
Senior Data Scientist supporting clients in solving data-related challenges. Collaborating with Data Engineers and internal teams to deliver analytical solutions.
Responsibilities:
- Typically after a year of on the job training, a Data Scientist 3 on the Technical Services team is able to:
- Work closely with Data Engineers and Data Scientists to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps
- Work with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions
- Identify new solutions that positively impact internal our customers and internal operations
- Work with the Research Development and Innovation team to develop cutting edge solutions that drive efficiencies, savings or revenue
- Audit existing datasets for accuracy, reliability and consistency
- Work with senior team members to identify data models and algorithms to apply to unique client problems
- Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques
- Coordinate with internal and client data engineering teams to implement models and supervise outcomes
- Run technical projects including scope, schedule and resources, tracking progress to ensure successful delivery of project deliverables on time and on budget
- Oversee work completed by junior team members to ensure timely delivery and quality of work, guiding them to implement standard methodologies in solution development and client relationships
- Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites
- Develop applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines
- Lead and drive projects assigned to completion with attention to detail and high quality
- Provide technical and developmental support to senior level mentees
- Establish long term relationships with customers in order to gain and cultivate trust (become their Trusted Advisor)
- Provide career development suggestions and support to mentees
- Assist management in team meetings and team planning exercises
- Communicate goals and deadlines to team members
- Assist team in meeting monthly KPIs
- Assist with team resourcing needs and planning
- Assist with hiring new team members
- Assess team performance and provide feedback
- Other duties as assigned
Requirements:
- College degree in Computer Science, Information Science or related field preferred - OR - successful completion of code school program combined with experience in data science
- Advanced skills with SQL and Python for advanced analysis required
- Experience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate to big data
- Machine Learning Framework experience
- Familiar with how JavaScript is used for websites
- Proven ability to solve complex problems with on-time delivery, the highest quality, and creativity in the approach
- Experience with and desire to mentor and encourage growth in junior team members
- Ability to listen and understand business needs and creatively develop solutions
- Ability to work on a team and manage individual prioritize workload
- Experience leading fast paced and flexible technical teams
- Expert in understanding and communicating complex technical solutions and concepts to all levels within a client's organization
- Strong desire to become a proficient Data Scientist for a fast paced company.
Benefits:
- Medical, dental and vision available for employees
- Paid time off including vacation, sick leave & company holidays
- Paid volunteer time
- Flexible working hours
- Summer Fridays
- “Work From Home Light” days between Christmas and New Year’s Day
- 401(k) Plan with 5% company match and no vesting period
- Employer Paid Parental Leave
- Health-care Spending Accounts
- Dependent-care Spending Accounts
- Employer Paid Basic Life Insurance
- Voluntary Life Insurance (Employee/Spouse/Child)
- Employer Paid Short & Long Term Disability
- Employee Assistance Program (EAP)
- Continuing Education Reimbursement
- Employee Referral Bonus Program
- Monthly Remote Work Stipend
- New Hire Office Equipment Reimbursement
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