Data Scientist 1
About The Position
Adswerve is looking for an aspiring Data Scientist to join the Technical Services team. The ideal candidate for this key position will possess a natural tendency toward analytical thinking, combined with client-facing consultative interpersonal skills. They will be naturally curious about data purity, big data analysis, machine learning, and product development, and have proven strengths in data science and data engineering. Our team of Data Engineers and Data Scientists are responsible for collaborating with clients and internal teams to solve complex data-related challenges for some of the biggest brands in the world. This is not a typical data scientist role. Our work is about consistently solving a multitude of client problems with data engineering and data science solutions. You’ll learn about data engineering pipelines, big data and marketing data sets and apply your understanding of data science and machine learning concepts. You will be our client’s hero, achieving daily wins by applying marketing segmentation, attribution and propensity modeling to surface sophisticated insights out of marketing data warehouses that you help build.
Requirements
- Skilled 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 track record to solve complex problems with timely delivery, the highest quality, and creativity in the approach
- Ability to listen and understand business needs and creatively develop solutions
- Ability to work on a team and manage individual prioritize workload
- Strong desire to become a proficient Data Scientist for a fast paced company
Nice To Haves
- College degree in Computer Science, Information Science or related field preferred - OR - successful completion of code school program combined with experience in data science
Responsibilities
- Collaborate closely with Data Engineers to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps
- Collaborate with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions
- Audit existing datasets for accuracy, reliability and consistency
- Advise 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
- Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites
- Develop and test applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines
- Other duties as assigned
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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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
