Machine Learning Engineer at ADP
Alpharetta, Georgia, United States
🇺🇸 (Posted Jul 22 2018)
About the company
We give companies of every size the tools to help their people thrive. From payroll, benefits and regulatory compliance to talent management and analytics, we help our clients succeed. As one of the world’s largest and most experienced HR providers, ADP offers you recruit-to-retire services and solutions that help you build the team that will take you into the future. What we deliver isn’t just a better HR system; it’s a better workforce.
ADP is hiring a Machine Learning Engineer with demonstrated experience in Hive, programming and machine learning techniques. Does this sound like you?
We believe people make great companies, not the other way around. Our people make all the difference in delivering innovative HR technologies and solutions that help employees all over the world do their jobs better. The result? We’re building the next generation of ADP technologies.
Join ADP’s innovation lab as we undertake one of ADP’s most ambitious transformation initiatives ever. We’re building a team from of the most elite, game-changing technologists and asking them to reinvent the way millions of employees are paid worldwide. If you are a sharp, self-driven product manager who is passionate about solving really big problems, we want to talk to you.
Skills & requirements
We strive for every interaction to be driven by our CORE values: Insightful Expertise, Integrity is Everything, Service Excellence, Inspiring Innovation, Each Person Counts, Results-Driven, – Social Responsibility.
We’re looking for someone with 1-2 years of experience in manipulating data sets and building statistical models, has a Master’s in Statistics, Mathematics, Computer Science , predictive analytics or another quantitative field
Theoretical and practical understanding of data mining and machine learning techniques such as: GLM/Regression, Random Forest, Boosting, Trees, text mining, Deep learning, social network analysis, Optimization, NLP, Probabilistic Inference, Information Retrieval, Recommendation Systems.
Strong computer science fundamentals including knowledge of data structures and algorithms, computational complexity, and object oriented/functional programming design patterns
Strong coding and debugging skills in one or more of the following technologies: Java, Python, PySpark.ML, R, H2O, SparklyR , Pandas, Scikit-learn, Spark-Mllib
Proven experience with large data sets and related technologies, e.g., Hadoop, Hive, Pig, Spark. Knowledge of SQL and NoSQL is required.
Strong communication and problem solving skills
Bonus points for experience in:
Deep learning frameworks such as Tensorflow, PyTorch, MXNet, Chainer and Theano.
Experience with query engines such as Presto, Apache Drill, Apache Impala.
Modern ETL frameworks such as Apache Airflow, AWS Glue, etc.
Experience visualizing/presenting data for stakeholders using: Tableau, ggplot, etc.