We are seeking a passionate senior data scientist to join our team to lead in fostering a data-driven culture. The candidate will join our Automation and AI/ML Operation service offerings under Data and Advanced Analytics department. The candidate should possess substantial technical expertise in driving the data-driven decision making.
The candidate will collaborate with cross-functional teams to identify business challenges, design experiments, and develop innovative solutions using advanced analytics techniques and machine learning algorithms. Additionally, mentor junior team members, ensuring delivery excellence.
Responsibilities:
- Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.
- Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
- Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
- Design and execute experiments to test hypotheses and validate models.
- Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
- Build and maintain scalable data pipelines and data processing systems.
- Communicate findings and recommendations to stakeholders, including non-technical audience, through visualizations, reports, and presentations.
- Stay updated on advancements in data science, machine learning, and analytics.
- Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
- Collaborate with the Enterprise Analytics team to integrate new practices and technologies.
- Familiarity with data privacy standards, methodologies, and best practices
Minimum Requirements
- Typically requires 7+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate
Critical Skills
- Hands-on experience building and delivering Enterprise Data Solutions with Big Data systems, data pipelines and data processing
- 3+ years of experience with data technologies and Cloud Platform like Snowflake, Databricks, and Azure.
- Hands on experience working on analytical platforms like Ruby, R, Python, Azure ML
- Experience in Data science model review, code refactoring optimization, containerization, deployment and monitoring ML models
- Experience in Data science Model testing, validation and Test Automation.
- Expertise in Data visualization tools such as Power BI, Tableau and Looker
- Ability to understand API Specs, identify relevant API calls, extract data and implement data pipelines & SQL friendly data structures.
Additional Skills
- Excellent communication and interpersonal skills, with the ability to engage and influence with technical teams, business leaders, and external partners.
- Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges.
- Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g.XGBoost, Ray framework).
- Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.
- Proficient in any of the following applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression or similar.
- Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment
Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson.
