job summary:
Lead Data Scientist to join our Global Digital Team. He/she will be responsible for leading and mentoring a team of highly technical contractors and interns who leverage advanced statistical analysis tools and Machine Learning techniques to explain operating behaviors, understand complex relationships between known and unknown drivers of performance, and build algorithms using advanced descriptive and prescriptive methods. This person should be able to mentor and guide the team members to successful outcomes. A combination of experienced technical acumen along with the ability to mentor and lead teams is paramount for the success in this position.
location: ATLANTA, Georgia
job type: Permanent
salary: $130,000 - 150,000 per year
work hours: 8am to 4pm
education: Masters
responsibilities:
Collaborates with translators to define technical problem statement and hypothesis to test; understand business problems to implement scalable and sustainable solutions
Coordinates with SMEs, translators, IT, and data engineers to deliver holistic analytical solutions Designs, creates, tests, and implements complex models and algorithms that drive analytical solutions throughout the organization
Regularly tests and maintains analytical models to improve efficiency and keep up with changing business needs, ensuring timely analysis and testing for regular maintenance of solutions over time
Writes reports articulating the analytics insights and their business impacts
Conducts and leads meetings and workshops to explain findings
Supports translators in communicating the design, functioning, and output of the analytical models/solutions developed
qualifications:
- Experience level: Experienced
- Minimum 8 years of experience
- Education: Masters
skills:
- Python (8 years of experience is required)
- data science (10 years of experience is required)
- data scientist (10 years of experience is required)
- Artificial intelligence
- data modeling
- SQL (8 years of experience is required)
- Git
- cloud
- AWS
- Azure
- SVN
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.