Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Senior Data Scientist leveraging advanced analytics to drive supply chain solutions at Johnson & Johnson. Collaborating with teams to develop predictive models and enhance decision-making in healthcare.
Responsibilities
- Gather business requirements from business partners and accurately translate those into digital & data science solution prototypes involving predictive analytics/simulation components, validate the prototypes and work closely with product development teams to scale the prototypes
- Build predictive/prescriptive model prototypes encoding complex business processes for deployment of solutions supporting business KPI improvement
- Work closely with product development teams to ensure that prototypes are scaled optimally with respect to adherence to business requirements, solution cost and agility to flex the solutions
- Work closely with vendors to deploy third party algorithmic components into our digital platforms.
- Assist digital product managers in new digital product launches i.e. ensuring that the right user tests are designed for product validation, develop metrics and product analytics to monitor and optimize products
- Assist digital product managers in sustaining and optimizing existing digital & data science products and platforms. This would involve continuous improvements to already deployed models by testing new generations of data science models, evaluating optimal ways to implement those models (e.g. open source vs vendor sourced analytic components)
- Monitor external trends on new types of modeling approaches & solution capabilities to continuously improve deployed digital solutions in targeted supply chain areas such as value chain management, planning, customer analytics, supplier risk management etc.
Requirements
- Masters degree in Operations Research/Econometrics/Financial Engineering/Systems Engineering or other STEM disciplines.
- At a minimum, 2-3 years of work experience is required.
- Must have demonstrated competence in working with business partners to translate business requirements into digital solution features and data science models
- Strong expertise in Python libraries such as numpy, scipy, pandas, scikit-learn, pyomo, simpy etc..
- Proven experience demonstrating deployment of models built using python libraries in production environment
- Must have expertise in SQL, querying databases for exploratory data analysis and data profiling.
- Some degree of experience with NOSQL databases such as Graph Databases (E.g. NEO4J) is preferred
- Must have experience with deployment of open source based models into production within cloud based digital stacks.
- Candidates must have demonstrated the ability to work with data engineers to leverage data pipelines for operationalizing models.
- Must have expertise in various types of Operations Research models E.g. Optimization models (Linear Programming, Non-Linear Programming, Mixed Integer Programming), Simulation models (Discrete Event Models, Monte Carlo Simulations Etc.), parameter estimation models (e.g. Markov Chain Monte Carlo Etc.)
- Experience with modeling supply chain management particularly in the healthcare industry (pharmaceuticals/medical devices) is highly desired
- Familiarity with Azure or AWS Cloud components such as Databricks and associated big data frameworks such as Spark, PySpark etc.
- Must have intermediate to high degree of expertise in tableau or similar visualization tools to created prototypes of dashboards for validation and insights delivery
- Familiarity and experience with ERP systems like SAP including unstructured data sources is preferred
Benefits
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period10 days
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
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