Senior Health Data Scientist leading complex data extraction and modeling for healthcare solutions at Inovalon. Collaborating with multidisciplinary teams to deliver data - driven insights.
About the role
- Senior Data Scientist at Massive Insights Inc. leveraging advanced analytics and statistical models to provide insights for clients' data-driven strategies. Collaborating with teams to enhance data-driven solutions.
Responsibilities
- Develop and implement advanced analytical models and algorithms to derive insights from large datasets, ensuring robust outcomes that inform strategic decisions.
- Collaborate with business stakeholders to understand their goals, providing data-driven recommendations that enhance their operations.
- Translate complex analytical results into clear, concise presentations and reports for both technical and non-technical audiences.
- Lead initiatives in data exploration, cleaning, and pre-processing to ensure data accuracy and reliability for analysis.
- Stay up-to-date with industry trends in data science and machine learning, incorporating new methodologies and tools to enhance our service offerings.
- Mentor and guide junior data scientists and analysts, cultivating an inclusive and innovative team environment.
- Work closely with data engineering teams to ensure effective data architecture and pipelines that support analytical queries and workflows.
Requirements
- Master's degree or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
- A minimum of 5 years of professional experience in data science or related fields, with a strong portfolio demonstrating successful data-driven projects.
- Proficiency in programming languages such as Python, R, or Scala, along with experience using data manipulation and analysis libraries such as Pandas, NumPy, and SciPy.
- Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn) with hands-on experience in building and deploying models.
- Excellent analytical skills and a deep understanding of statistical analysis and hypothesis testing.
- Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to effectively communicate insights to stakeholders.
- Familiarity with big data technologies and platforms (e.g., Hadoop, Spark) is a plus, as well as experience with cloud-based analytics environments (e.g., AWS, Azure, GCP).
- Outstanding communication skills, with the ability to clearly explain complex analytical concepts to diverse audiences.
- Strong problem-solving skills, with an analytical mindset and attention to detail.
- Ability to work well in teams, demonstrating both leadership and collaboration skills.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist developing machine learning solutions and delivering insights for operational decisions. Collaborating with stakeholders to apply analytical techniques and improve business outcomes.
Data Scientist responsible for modeling and analyzing credit risk at CAIXA Consórcio. Utilizing data - driven insights to support strategic decision - making in credit operations.
Data Scientist optimizing payments ecosystem for Preply, enhancing user experience through data - driven insights. Collaborating with teams to improve payment processes and fraud management.
Staff Data Scientist at Preply developing data strategies for product domains. Collaborating with executives to drive long - term strategy and experimentation frameworks.
BA
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
Data Scientist in AI SaaS integrating 100+ systems for a European unicorn - in - the - making. Ensure scalability, security, and performance in a high - growth environment.
Data Science Intern working on AI - driven recipe and hardware optimization problems in semiconductor processes. Developing machine learning models and collaborating with engineering teams for innovative solutions.
Senior Data Scientist at LexisNexis developing AI - driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.