This role is based out of our Boston Headquarters office. We are a hybrid work environment with three days a week in the office.

About the Role 

As a Data Scientist at Labviva, you will join a team of engineers and data professionals to develop unified purchasing and supply chain solutions for our pharmaceutical, biotech, and higher education customers. This position reports to the Vice President, Analytics and Data Science. The position is a key hire to strengthen our advanced analytics and machine learning capabilities. Have you gained ML expertise at a scaled enterprise and are interested in growth? Are you a self-starter who enjoys autonomy and thrives in an ambiguous, fast-paced environment? Are you passionate about using data to help scientists discover and research? If you answered yes, this role may be for you. 

Please note work visa sponsorship is not available.

How You Will Contribute 

• Collaborate with products, engineering and business stakeholders to design models for business use cases including data collection, classification, product taxonomy, product recommendation, marketing funnel optimization and supply chain management.

• Develop statistical and ML models from prototypes to full production while applying best practices. You will own model development and have support from our own full-stack engineering team as well as other teams in the engineering organization.

• Define and track metrics for performance measurement.

• Generate insights and translate complex concepts and analyses into accessible format for technical and non-technical audiences.

What You Bring to the Team 

• 3 years of ML modeling experience combined with a solid understanding of the theoretical foundations of AI/ML

• Graduate degree in statistics, applied mathematics or a related field

• Expertise in several of the areas: classification/decision tree, clustering, anomaly detection, recommenders, Bayesian statistics, optimization, forecasting

• Working knowledge of life science lab operations is highly desirable

• Proficiency in Python, R and SQL

• Experience in AWS, Snowflake and SageMaker is helpful

• Ability to turn concepts into solutions; and to interpret analytical findings to audiences of all levels

• Strong intellectual curiosity and self-motivation

About the Company

Labviva is on a mission to accelerate the pace of life science research. We connect researchers with suppliers of reagents, chemicals and instrumentation in an intuitive user-friendly platform that supports the priorities of scientists while staying compliant with purchasing rules.We are a venture-funded start-up that acknowledges that the unique contributions of each team member drive our success. We commit to creating a diverse and inclusive workspace where people can make a positive impact. At Labviva, we invest in our employees and strongly believe that a culture of respect and support drives success for all involved.We provide a competitive set of benefits including but not limited to a hybrid – office/remote work option, health benefits, discretionary time off, parental leave, competitive salary and equity, and Thursday company lunches.We are an equal opportunity employer and building a diverse team is our top priority. At Labviva, we celebrate all. Help us build an inclusive community that will transform the life sciences industry. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics as outlined by federal, state or local laws, regulations, or ordinances.