Product Analytics Team Lead at Patrianna shaping analytics team and driving growth through data - informed insights and AI analysis. Collaborating with various stakeholders for actionable recommendations.
About the role
- Data Scientist II using data science techniques for actionable insights. Working with cross-functional teams to resolve data issues and innovate analytical solutions.
Responsibilities
- The Data Scientist II is responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
- Resolve outstanding data issues and create innovative solutions
- Conduct ongoing data mining to ensure artifacts provide value, including root cause variance analysis
- Work autonomously within a specialized business management function and may provide work direction to others
- Provide seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
- Undertake and complete a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
Requirements
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- Graduate's degree preferred with either progressive project work experience, or; 3+ years of relevant experience
- SQL Developer
- Python
- Previous AML/Sanctions Screening experience is preferred but not mandatory
- Degree in a quantitative field (mathematics, statistics, computer science, data science, data analytics, etc.)
- Some experience navigating large data sets and ability to extrapolate technical/complex issues
- Hands-on experience in developing SQL relational tables, OLAP cubes, data marts
- Ability to manage and optimize database and data warehouse systems
- Critical thinking, analytical thinking, attention to detail, integrity
Benefits
- Total Rewards package includes base salary and variable compensation/incentive awards
- Health and well-being benefits
- Savings and retirement programs
- Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
- Banking benefits and discounts
- Career development opportunities
- Reward and recognition programs
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist at Midas focusing on transforming finance through machine learning solutions and AI technologies in Turkey. Collaborating with various teams to deliver valuable insights and predictive models.
Clinical Data Manager responsible for enhancing clinical data workflows at Hilo by Aktiia. Ensuring accurate data processing and execution of clinical studies with a focus on quality outcomes.
Data Scientist responsible for developing AI solutions in telecom networks. Collaborate with cross - functional teams to optimize and implement data science models.
Data Scientist developing advanced statistical models and algorithms for retail insights at Walmart. Collaborating across divisions to enhance operational analytics and data - driven decision making.
Data Scientist II leveraging advanced statistical methods and machine learning at F5. Join the Data & Insights team to create impactful data products and drive business success.
Associate Data Scientist at Kyndryl's AI Innovation Hub transforming raw data into actionable insights. Collaborating with senior scientists to develop machine learning models and tackle real business challenges.
Data Scientist at Target responsible for developing and managing predictive algorithms using large - scale data. Collaborating with teams to optimize retail solutions and improve decision - making processes.
Data Scientist at PwC creating AI and machine learning solutions. Working with global teams to address diverse business challenges while mentoring junior members.
Consultant(e) Senior - Data IA au sein de Square Management, intervenant sur des enjeux de transformation pour des clients grands comptes.