As a Data Scientist, you will work in tandem with our development teams in identifying innovative products & solutions based on the capturing and analysis of data from a variety of sources using experimental design, advanced data mining techniques, and creation of dynamic data models. The ideal candidate is a creative, passionate problem-solver who is motivated to develop inventive, cutting-edge solutions in today's rapidly changing smart office environment. Primary responsibilities will be:
- Implementing new and innovative data analytics programs
- Working with all stakeholders and team members to deliver value added solutions through advanced analytic and modeling techniques
- Analyze, visualize and model data using advanced data analysis & statistical techniques
- Use predictive analytics and machine learning to solve complex problems
- Effectively communicate project activities, status, and results both verbally & written
- Create dashboards and visualizations of processed data, identify trends, anomalies
- Provide mentoring and leadership to team members
Must - Skills / Knowledge:
- Bachelor's degree in CS, Math, Statistics or a quantitative field required, Master's degree preferred
- 3+ years of demonstrated experience in predictive modeling and analysis
- 3+ years of demonstrated experience with statistical software tool(s), i.e. GNU Octave, R, SAS, etc.
- 3+ years of writing complex SQL queries in high volume database environments
- Experience/knowledge of advanced machine learning techniques such as GBM, random forest, etc.
- Experience in statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering and natural language processing, experimental design, social network analysis, feature engineering, etc.
- Experience with visualization technologies such as Chart.js, DataHero, Plotly, Tableau
Desired - Skills / Knowledge:
- Experience in multifunction imaging and printing systems
- Coding skills in one of the following: Java, Python, Scala, R
- Knowledge of Cloud Platforms such as AWS, Azure, Google Cloud, etc.
- Experience with IoT platforms