Job Location: Dublin, OH
Job Detail:
Title: Senior Data Scientist
Location: Hybrid (Dublin, OH; 2 days in office per week)
Duration: 12+ months
Top 3-5 Skills (Must Have)
· Clinical Healthcare Experience, Analytics Translator, has depth and knows different techniques, GCP and AWS outcomes.
Job Description
· Work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
· Use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness.
Responsibilities
· Use statistical analysis to determine which data modeling approach to use, model the algorithm and build a prototype.
· Lead data science projects and partners with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
· Diagnose business needs, analyze business processes, data flows, IT / technical artifacts and extract understanding of how the system or business process works as input for model development. Translate the business problem into a technical model.
· Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
· Communicate results and statistical concepts to key business leaders.
· Assist in operationalization of the model and develop techniques to improve interpretability of the machine learning outcome.
· Develop A/B testing framework and test model quality
· Build processes and tools to help monitor and analyze model performance and data accuracy.
· Use deep subject matter/ functional expertise, influence and process skills to help internal/external customers and stakeholders identify and meet their high priority needs while considering cultural and diversity implications.
· Work across diverse teams, perspectives and opinions and quickly build consensus.
· Mine and analyze large structured and unstructured datasets.
· Encourage informed risk-taking and act as a catalyst for innovation at Cardinal Health.
Desired Qualifications:
· 7+ years of proven applied Data Science experience and involvement in packaged platform delivery and management.
· Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is required.
· Master’s degree or PhD in related field is highly preferred.
· Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs).
· Strong mathematical and statistical skills.
· Experience with optimization techniques and AI techniques.
· Proficient in feature engineering techniques and exploratory data analysis
· Experience in statistical and data mining techniques (such as boosting, generalized linear models/regression, random forests, trees, and social network analysis).
· Experience with machine learning techniques such as artificial neural networks, clustering, decision tree learning, and dimensionality reduction.
· Understanding of cloud data engineering and integration concepts.
· Experience with Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage, is preferred
· Excellent oral and written communication skills.
· Comfortable reading academic research papers and applying them in building models.
· Ability to work independently and within a cross functional team environment.
· Experience with DevOps Agile practices preferred.
Job Type: Full-time
Salary: $55.00 – $60.00 per hour
Schedule:
- 8 hour shift
Work Location: On the road
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