Junior Data Scientist Cohort

Program Highlights

• Work with industry-leading experts to gain hands-on knowledge and experience
• Gain a comprehensive understanding of the Koddi business 
• Have the opportunity to share and present ideas with team members
• Participate in leadership workshops and soft skill development
• Receive executive mentorship and peer-to-peer support throughout the program

What you will do

• Collaborate with data scientists, software engineers, and business stakeholders to learn about company goals and objectives
• Assist in translating that understanding into basic machine learning solutions that address business challenges and opportunities
• Contribute to key projects focused on the development of scalable machine learning and artificial intelligence solutions
• Assist in building and deploying production-ready models on large datasets to improve Ad delivery and relevancy performance by utilizing statistical modeling and machine learning techniques
• Help design and execute A/B tests to gather insights and answer business questions
• Stay engaged in learning and applying foundational machine learning techniques to solve data science problems under the guidance of senior team members
• Document learning experiences, methodologies, and findings, sharing insights with the team to foster collaboration and growth
• Participate in project planning and prioritization meetings, gradually building experience in interacting with cross-functional teams and stakeholders

What skills and experience you bring

• Graduating with a Masters or PhD degree in Statistics, Computer Science, Operational Research or Engineering or successful completion of relevant bootcamp coursework
• Graduation/Bootcamp completion date no later than May 2025
• Internship or project experience in data science, machine learning, or a related field
• Solid understanding of machine learning / predictive  analytics (e.g. regression, deep learning, causal inference, mathematical optimization)
• Familiarity with machine learning tools and platforms such as Spark, Databricks, TensorFlow, or PyTorch, gained through academic projects or internships
• Exposure to machine learning techniques and analytics methods (e.g., Deep Learning, Bandits, Causal Inference, or Mathematical Optimization) through coursework or academic projects
• Basic SQL skills with experience working on data manipulation and analysis in academic settings
• Basic proficiency in Python, with some hands-on experience through coursework, projects, or internships
• Excellent communication skills and eagerness to learn 
• Enjoys working in a fast paced environment with high collaboration
• Ability to work collaboratively in a team environment
• Availability to be onsite for the duration of the program Monday-Friday in our Fort Worth office
• Availability to work Full Time after the cohort program