Accel Entertainment Gam is looking for a Senior Data Scientist


    Senior Data Scientist…


    Data and Analytics




    May 2, 2023


    Accel Entertainment is the largest Gaming Terminal Operator in the country. We provide slot machines, redemption terminals, and amusement devices (pool tables, juke boxes, dart boards, etc.) to bars, restaurants, convenience stores, truck stops, and fraternal and veteran establishments across the country. Our focus is providing unmatched customer support, guidance, and compliance expertise so our partner establishments can grow their businesses and generate more revenue.


    The primary responsibilities of this position include but are not limited to, assist retail businesses with insights gained from analyzing POS data on solutions built by Accel, well as assisting in other areas as needed.


    • Use large data sets to find opportunities for product and process optimization
    • Using models to test the effectiveness of different courses of action
    • Use a variety of data mining/data analysis methods
    • Use a variety of data tools
    • Building and implementing models
    • Using/creating algorithms and creating/running simulations
    • Drive business results with data-based insights
    • Work with clients to identify opportunities for leveraging POS data to drive business benefits
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques
    • Develop custom data models and algorithms to apply to data sets
    • Use predictive modeling to improve pricing, assortment and marketing mix
    • Coordinate with different functional teams to implement models and monitor outcomes
    • Develop processes and tools to monitor and analyze model performance and data accuracy.


    • 5-7 years of experience manipulating data sets and building statistical models
    • Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field
    • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
    • Experience working with and creating data architectures
    • Knowledge of a variety of machine learning techniques (Linear and Non-Linear programming, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
    • Excellent written and verbal communication skills for coordinating across teams
    • A drive to learn and master new technologies and techniques
    • Good exposure to CPG industry in areas of Revenue Management (Promotion Optimization), Sales and Marketing areas
    • Coding knowledge and experience with several languages: Python, R, SQL * Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
    • Experience visualizing data for retailers using Visualization tools like Power BI, Tableau, Qlik, D3 etc. Technical Skills
    • Experience developing solutions for Predictive and Prescriptive Analytics including Optimization.
    • Good knowledge on Optimization algorithms (Linear Optimization and Non-Linear Optimization)


    • Frequently required to stand, sit, walk, talk, and hear
    • Continually required to utilize hand and finger dexterity, including calculating figures and use of a keyboard
    • Specific vision abilities required for this job include close, distance, and peripheral vision, depth perception, and ability to adjust or focus
    • Noise level in the work environment is usually moderate

    The above is intended to describe the general content of, and requirements for, the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions