What are the responsibilities and job description for the Engagement Manager position at ALOIS Solutions?
Job Description:
Responsibilities
- Oversee delivery of multiple initiatives / projects in the Sports & Entertainment industry.
- Own the problem solution, structure and delivery of the solution : collaborate with client stakeholders to understand and frame business requests, determine how best to leverage machine learning and advanced analytics methods (Ensemble models, Decision trees and Neural networks; Operations research; Statistical modeling such as multivariate techniques) to support business objectives.
- Efficiently construct, develop, and implement the models in a variety of modeling tools, achieving highly accurate models.
- Ensure insights from conclusions of analysis that integrate with initial hypothesis and business objective.
- Enable highly technical information into concise is communicated in understandable terms for presentations.
- Provide oversight to find patterns in the data using advanced analytical tools and techniques.
- Communicate analyses by preparing presentations for and participating in C-level clients.
Qualifications
- Master’s or Bachelor's degree in math, statistics, economics, computer engineering, business administration or related analytics field from top-tier universities with strong record of achievement or additional relevant experience.
- 11 years’ experience with solid analytics / data science skills and an entrepreneurial, hands-on approach.
- Extremely strong in problem solving - case based solution approach; Ability to leverage data & analytics to address business problems.
- Experience in Data science techniques such as regression / decision trees / gradient boosting.
- Experience in Python and using Python libraries & SQL (Preferable) or SAS / R.
- Experience in data wrangling / feature engineering / Data pipelines.
- Strong communication skills to interpret data into insights succinctly and clearly for executive audience.
- Domain/business expertise of Sports & Entertainment.
Preferable
- Experience in ETL, Data Management & Data Engineering.
- Experience in designing and developing BI solutions using - Tableau / Power BI / Qlik / Looker.
- Experience in Digital Analytics / Personalization.
- Experience in Optimization algorithms / libraries such as Convex / Linear Programming / Particle Swarm, Gurobi etc.