Note: The job is a remote job and is open to candidates in USA. Robert Half is seeking a Machine Learning Data Scientist to join its centralized Data & Analytics Center of Excellence. The role develops and deploys machine learning, statistical analysis, experimentation, and predictive analytics solutions, with a focus on healthcare and marketing applications. The position also partners with cross-functional stakeholders, builds scalable cloud-based data workflows, and communicates insights through visualizations and business narratives.
Responsibilities
- Design, build, validate, and optimize machine learning models to solve complex business problems
- Develop predictive and prescriptive analytics solutions using statistical and machine learning techniques
- Perform feature engineering, model tuning, model evaluation, and performance monitoring
- Translate business challenges into scalable data science solutions that create measurable impact
- Lead the design, execution, and analysis of A/B tests and other experimental frameworks
- Apply advanced statistical methods to evaluate marketing initiatives, customer behaviors, and operational performance
- Provide actionable recommendations based on rigorous quantitative analysis
- Partner closely with marketing stakeholders to improve customer acquisition, engagement, retention, and campaign effectiveness
- Collaborate with cross-functional teams to identify opportunities where machine learning and analytics can drive value
- Present findings and recommendations to both technical and non-technical audiences
- Extract, cleanse, transform, and analyze large structured and unstructured datasets
- Work with modern cloud-based analytics platforms to build scalable data pipelines and machine learning workflows
- Contribute to data quality, governance, and continuous improvement initiatives
- Build dashboards and visualizations that communicate insights and business performance
- Translate complex analytical findings into clear and compelling business narratives
- Support a culture of data-driven decision making throughout the organization
Skills
- • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems, or a related field (or equivalent professional experience)
- • 7+ years of hands-on experience in Data Science, Machine Learning, or Advanced Analytics
- • Experience working within the healthcare industry
- • Strong experience partnering directly with marketing teams and supporting data-driven marketing initiatives
- • Advanced proficiency in Python for data science and machine learning applications
- • Advanced SQL skills with experience analyzing large and complex datasets
- • Deep expertise building and deploying machine learning models, including:Classification
- • Regression
- • Clustering
- • Predictive Modeling
- • Strong background in statistics and experimental design
- • Demonstrated experience designing, executing, and interpreting A/B testing and statistical experiments
- • Excellent communication, presentation, and stakeholder management skills
- • Proven ability to explain complex analytical concepts to non-technical audiences
- • Positive, collaborative attitude with a strong customer-service mindset
- • Experience working with Azure cloud technologies
- • Experience utilizing Databricks for data engineering, analytics, and machine learning workloads
- • Experience with large-scale data processing technologies such as Spark
- • Knowledge of software engineering best practices and MLOps concepts
- • Experience working in regulated environments, including healthcare-related compliance requirements
- • Familiarity with additional programming languages such as Scala, Java, or C++
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