Data Scientist

We’re GoSolve - a global company specialised in transforming our customers’ vision into digital applications. We love building large-scale cloud-based digital products and have the necessary skills to make it happen. Join us and work with the top tech talents from all over the globe in a driven, proactive environment. Do you wish to join a stable product development project? You will be a perfect fit!

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.