Senior Data Scientist at LexisNexis developing AI - driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.
About the role
- Senior Data Scientist building machine learning products to enhance user experience at Paramount Streaming. Leveraging data to optimize marketing and inform business strategies.
Responsibilities
- Translate complex business problems into coherent, actionable quantitative solutions.
- Implement, automate, and maintain reliable, performant, and end-to-end ML systems using software engineering and MLOps best practices.
- Deliver clear, impactful insights to stakeholders through effective communication.
- Collaborate with stakeholders across the Product org to operationalize data science solutions that inform strategy and optimize the user experience.
- Promote best practices across the data science and product analytics team.
Requirements
- 2+ years experience in Data Science and ML Engineering.
- MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine learning techniques.
- Experience with both supervised and unsupervised learning methodologies.
- Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.
- Familiarity with well-known statistical and ML models and methods.
- Ability to innovate without over-engineering.
- Communicate concisely and persuasively with a wide variety of stakeholders.
- Strong detail orientation with a penchant for data accuracy.
- Must successfully pass a background check.
- Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).
- Experience with integrating AI solutions into existing business processes.
- Experience using project management tools like those from Atlassian (JIRA, Confluence).
Benefits
- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
- bonus eligible
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Product Analyst for a leading media tech company managing SEO - friendly content and commercial campaigns. Collaborate with teams for digital content production and user engagement analysis.
Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
Data Scientist Analyst at BBVA transforming complex data into strategic solutions using machine learning. Collaborating within Banking Ops team to improve operational efficiency and customer experience.
Data Scientist leading key analytical projects at BBVA AI Factory in Madrid. Collaborate with multidisciplinary teams to drive data - driven solutions for banking processes.
Senior Data Scientist focusing on developing generative AI solutions for financial applications at BBVA. Involved in evaluating models, developing analytical solutions, and iterative experimentation processes.
Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Data Scientist at BBVA AI Factory focusing on AI solutions in finance. Collaborate to develop AI - driven customer relationship models and analytics to enhance banking processes.
Data Assessor employing machine learning methods to enhance business relationships. Focused on deriving insights and applying data science principles to improve user experience.
Data Science Specialist leading predictive modeling initiatives to support product innovation at Nestlé Nutrition. Collaborating with cross - functional teams to translate complex data into actionable insights.