About the Role
We are seeking a highly experienced and customer-focused Senior Data Scientist to join our growing team. This role goes beyond traditional data science; you will act as a technical leader and solution architect, developing unified purchasing and supply chain solutions for our customers in pharmaceutical, biotech and higher education. You'll leverage your expertise to design and develop cutting-edge models and programmatic solutions, and mentor junior team members. This is a high-impact role with a significant growth potential at a leading life science technology firm.
Are you a self-starter who thrives in a fast-paced, ambiguous environment? Do you have a passion for using data to solve complex business problems and a proven track record of delivering impactful solutions? Do you possess the consulting skills to effectively communicate with both technical and non-technical audiences, translating complex data insights into actionable business strategies? If so, this is the perfect opportunity for you.
How You Will Contribute
Model Development & Leadership:
- Lead the design, development, and deployment of machine learning/AI/statistical models to address key business use cases, such as product and offer matching, benchmarking, measurements and testing, marketing funnel optimization, and supply chain management.
- Provide technical guidance and mentorship to junior data scientists and analysts, fostering a collaborative and high-performing team environment.
- Lead data science initiatives, driving the adoption of best practices in ML model development, deployment, and monitoring.
- Establish and track key performance indicators (KPIs) to measure model performance and business impact.
Solution Architecture & Client Engagement:
- Act as a trusted technical advisor to customers, understanding their business needs and challenges within the life science procurement space
- Lead client-facing discussions and presentations, effectively communicating complex technical concepts and solution designs.
- Develop and present proposals, proof-of-concepts, and solution architectures tailored to specific client requirements.
Collaboration & Insight Generation:
- Collaborate closely with Product, Engineering, and business stakeholders to ensure alignment and successful implementation of data-driven solutions.
- Generate actionable insights from complex datasets and translate these findings into clear, concise recommendations for both technical and non-technical audiences.
- Contribute to the overall data strategy and roadmap for the company.
What You Bring to the Team
- 5 ~ 10 years of professional experience in data science.
- Master's or PhD degrees in Statistics, Applied Mathematics, Computer Science, or a related quantitative field.
- Deep knowledge of statistical and ML concepts and practices.
- Expert proficiency in Python and SQL.
- Experience designing solution or enterprise architecture.
- Experience in a client-facing role, ideally at a consulting firm or agency. This includes strong communication, presentation, and interpersonal skills
- Demonstrated ability to lead technical projects and mentor junior team members.
- Strong intellectual curiosity, self-motivation, and a proactive approach to problem-solving.
- Ability to work cross-functionally to manage and balance different stakeholders’ interests.
Highly Desirable:
- Snowflake Snowpark and Cortex, AWS, Cloud Computing
- Experience in e-commerce, life science procurement, B2B, and/or large data platforms
- Working knowledge of life science lab operations
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.
