As a global leader in mass spectrometry, SCIEX delivers solutions for precision detection and quantification of molecules to help protect and advance the wellness and safety of all. Because of our 50 years of groundbreaking innovation, our customers can quickly respond to environmental hazards, better understand biomarkers relevant to disease, improve patient care in the clinic, bring relevant drugs to market faster, and keep food healthier and safer. At SCIEX, you’ll find a rewarding role that amplifies your impact on the world and helps you realize life’s potential.
SCIEX is proud to work alongside a community of nine fellow Danaher Life Sciences companies. Together, we’re pioneering the future of science and medicine, developing products that enable researchers in the fight to save lives.
We’re seeking a Sr. Data Scientist to help establish and grow a high-performing data science team in commercial analytics. In this role, you will be responsible for driving data insights and solutions from within SCIEX’s Global Commercial Operations & Enablement (GCOE) team. You will develop an expert understanding of SCIEX datasets, data warehousing/governance, and data visualization while also serving as a representative for the GCOE team within the broader SCIEX organization. This individual will possess both a technical and business acumen to conceptualize, build, and deliver complete solutions to stakeholders while maintaining and improving upon existing tools & architectures. This role offers an excellent opportunity to develop subject matter expertise in a variety of data engineering fields while also building competency in core business principles within a leading Life Sciences organization.
In this position you will:
Engage with colleagues and leaders from the commercial, finance, marketing and IT teams to gather, analyze, and validate all requirements for daily business operations
Understand and address ambiguous business pain points and drive clarity through data storytelling and what-if scenarios
Become a SCIEX commercial data subject matter expert, and help develop a commercial operations data dictionary
Work with data integration teams to define and load data sources from multiple data warehouse systems to build and maintain automated workflows, data pipelines, and an automated test suite for data science DevOps
Constantly re-evaluate best practice tools and workflows for producing reliable predictive analytics implementations
Develop / contribute to internal Python libraries for data science
Participate in code reviews with the data science team
Collaborate with data science colleagues to deploy reliable, internal ML models and web application / API endpoints
The ideal candidate will have:
Bachelor degree in Computer Science, Engineering or Math/Statistics
Self-starter mindset: able to work independently with minimal guidance, keeps focus on the deliverables and quickly identifies any barriers to on time delivery
3-5+ years of experience solving business problems in an environment involving Python (data-science libraries in particular), Relational databases, REST APIs, Git, Automated testing, and Cloud infrastructure (AWS, Azure or Google Cloud)
Experience working effectively in a matrix organization, with geographically dispersed team members and a willingness to take ownership of future product releases
Strong systems/process orientation with demonstrated analytical thinking, organizational skills and problem-solving skills
Excellent communication and presentation skills, to convey results to a non-technical audience
Fluency in both written and spoken English
Working knowledge of Salesforce.com (or similar CRM) and Microsoft PowerBI (including DAX and Power Query) is a bonus
Prior experience administering containers and virtual environment management (e.g. Docker, Jupyter Hub) is a bonus
When you join us, you’ll also be joining Danaher’s global organization, where 80,000 people wake up every day determined to help our customers win. As an associate, you’ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful Danaher Business System tools and the stability of a tested organization.
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
If you’ve ever wondered what’s within you, there’s no better time to find out.