Are you passionate about using data to drive meaningful insights and improve business outcomes? Do you have a deep understanding of artificial intelligence and machine learning? If so, we have an exciting opportunity for you to join our team as a Data Science Advisor at Cigna.As a Data Science Advisor, you will be a vital member of our team, working closely with cross-functional teams to develop and implement data-driven solutions. Your expertise in AI and ML will be critical in identifying and solving complex business problems, ultimately driving better decision-making and customer experiences.We are looking for a highly skilled and experienced professional with a strong background in data science and a proven track record of delivering impactful results. If you are a strategic thinker, innovative problem-solver, and possess excellent communication skills, we encourage you to apply and become a part of our dynamic and forward-thinking organization.
- Develop and implement data-driven solutions to improve business outcomes.
- Utilize artificial intelligence and machine learning techniques to analyze large and complex datasets.
- Collaborate with cross-functional teams to identify and solve complex business problems.
- Provide expert guidance and recommendations on data science strategies and methods.
- Utilize advanced statistical and analytical techniques to identify patterns and trends in data.
- Communicate complex data insights and findings in a clear and concise manner to stakeholders at all levels.
- Stay updated on the latest trends and advancements in data science and AI/ML technologies.
- Use data to drive decision-making and support business strategies.
- Work closely with IT teams to ensure proper data collection, storage, and integration.
- Develop and maintain data models and algorithms to support predictive and prescriptive analytics.
- Collaborate with business leaders to understand their needs and develop customized data solutions.
- Use data visualization tools to create visually appealing and informative reports and dashboards.
- Provide training and support to team members on data science techniques and tools.
- Ensure data accuracy, integrity, and security in all projects.
- Continuously identify opportunities for improvement and optimization in data processes and systems.
In-Depth Knowledge Of Artificial Intelligence And Machine Learning Techniques And Algorithms, Including Deep Learning, Natural Language Processing, And Predictive Modeling.
Strong Understanding Of Big Data Platforms And Tools, Such As Hadoop, Spark, And Sql, And Experience Working With Large Datasets.
Proven Track Record Of Successfully Applying Ai/Ml Solutions To Solve Complex Business Problems And Drive Business Value.
Excellent Communication And Interpersonal Skills, With The Ability To Effectively Communicate Complex Technical Concepts To Non-Technical Stakeholders.
Advanced Degree In A Related Field, Such As Computer Science, Data Science, Or Statistics, And A Minimum Of 5 Years Of Experience In A Data Science Or Ai/Ml Role.
Data Analysis
statistical analysis
Big Data
Machine Learning
Deep Learning
Data Visualization
Natural language processing
Data Mining
Predictive modeling
Python programming
R programming
Communication
Conflict Resolution
Leadership
Time management
flexibility
Critical thinking
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Science Advisor (AI / ML) is $89,000 to $147,000 per year.
This salary range can vary depending on factors such as location, years of experience, and the specific industry or company the advisor is working in.
Some factors that may influence the salary for a Data Science Advisor include:
- Location: The city or state where the advisor is located can greatly impact their salary. For example, data science advisors working
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Cigna Corp. provides medical, dental, disability, life and accident insurance and related products and services to businesses, governmental and non-governmental organizations and individuals. It operates through following segments: Global Health Care; Global Supplemental Benefits; Group Disability and Life; Other Operations; and Corporate.
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