Description
Just GO for it.
We are looking for a Data Scientist to join our data team. Our ideal candidate is a team player, a curious, relentless learner who’s ready to take on new challenges and deliver value in a dynamic environment. This individual will have a love of working with data and making discoveries, a deep understanding of mathematics and statistical modeling, and strong communication skills. This role will bring rigor to advanced projects across pricing and identity/attribution data initiatives.
Responsibilities:
- Build predictive models using statistical and machine learning techniques used for classification, regression, and disambiguation. Assess model performance and communicate with stakeholders.
- Derive insights from data to improve our understanding of user identity and their journey from online to retail.
- Mine and analyze prescription drug pricing and volume to drive optimization and improvement of product development; refine attribution and identity through NLP cleaning and typo correction techniques.
- Support our marketing DS team with audience selection and generation.
- Partner with the rest of the data team to improve data consistency, cleanliness, and ease of use.
Skills & Requirements:
- 3+ years of work experience in data science/machine learning; prior exposure to the prescription/healthcare industry is a plus.
- Undergraduate degree in a quantitative field (e.g. hard sciences, engineering, operations research, etc); advanced degree is a plus.
- Experience delivering impact through statistical analysis and predictive modeling; domain knowledge in areas of pricing, identity, and attribution preferred.
- Strong knowledge with databases such as RedShift, PostgreSQL, and Spark/EMR; familiarity with Python computing stack.
- Comfortable with ambiguity, adaptable to a high-change environment, and open to new concepts and processes.
Benefits:
- Be a part of the team that works for the most influential global brands.
- Opportunities to create industry-defining services using the latest technologies.
- Responsible position – leverage your knowledge beyond simple coding.
- Advise customers on optimal solutions – we trust your expertise!
- No rush! Work at your own pace in a quality-over-quantity environment.
- Collaborate with highly experienced professionals.
- Numerous opportunities for professional growth.
- Full-time remote work from anywhere in the world.
- Monthly budget for social benefits – tailored to your location and lifestyle.
- 20 days of paid time off.
- Annual training budget.
GDPR DATA PRIVACY NOTICE
In accordance with Article 13(1) and (2) of the GDPR, we inform you that: 1. The controller of your personal data is the entity indicated in the job offer. 2. We will process your personal data for the purpose of conducting the recruitment process for the position indicated in the job offer, and if you have given consent in this regard, also for the purpose of conducting future recruitment processes. 3. You have the right to: access your data and request its rectification, erasure, restriction of processing, the right to data portability, and the right to object to the processing of your data. 4. We do not engage in automated decision-making or profiling. 5. For more information on how we process your personal data, please refer to the full text of the Information Clause for Job Candidates.
not set
Data Scientist
Remote