Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
About the role
- DSLDP Intern at Travelers developing data science solutions and collaborating with cross-function teams. Gain exposure through professional work experience and community outreach events.
Responsibilities
- The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization.
- As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques.
- You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.
- With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management.
- You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics.
Requirements
- Pursuing a Master’s or PhD level degree in Statistics, Mathematics, or Data Science.
- Applied statistical knowledge and experience solving “real-world” problems.
- Demonstrated ability to communicate technical concepts to a non-technical audience.
- Experience with a programming language (Python, R, SAS, etc).
- Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results.
- Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making.
- Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands.
- Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients.
- Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility.
- Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude.
- Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position.
- Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives.
- Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results.
- Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result.
- Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn.
Benefits
- Performance-based cash incentive awards
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.