Data Scientist 1
Entry-level Data Scientist role focused on marketing data analysis, segmentation, attribution, and propensity modeling using SQL, Python, and cloud platforms. Collaborate with data engineers and clients to build analytics pipelines and deliver business insights.
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
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
- 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
Compensation & Benefits
- Base salary of $95,000 to $115,000 per year
- 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
Data Science Fellow - AI/NLP
Postdoctoral researcher developing AI/NLP and knowledge engineering methods to transform biomedical literature into structured, evidence-grounded knowledge for organoid protocol standardization. Requires PhD and strong Python/NLP research experience.
Data Scientist
As a Data Scientist, you will shape the future of Pinterest's products by applying quantitative modeling, experimentation, and algorithms to complex engineering challenges. You will collaborate with cross-functional partners to bring scientific rigor to product development and deliver insights that influence product teams.
Bioinformatics/Data Scientist
Conduct multi-omics analyses (scRNA-seq, bulk RNA-seq, proteomics, metabolomics) on organoid systems to characterize fidelity and identify biomarkers. Develop computational pipelines, integrate public datasets, and collaborate with experimental teams. Requires a PhD in bioinformatics or related field with strong R/Python skills.