What are the responsibilities and job description for the Data Scientist position at Network ESC?
POSITION RESPONSIBILITIES
- Build predictive models to inform advanced insights, account prioritization, next-best-action, campaign optimization, and commercial test-and-learn for NGSE
- Perform predictive analytics to identify core opportunities to drive business value, utilizing machine learning techniques such as logistic regression, random forests, collaborative filtering, sentiment analysis and topic modeling
- Generate buy-in and engagement by effectively communicating results through presentations and visualizations
QUALIFICATIONS
- Masters from an accredited college/university in Computer Science, Statistics, Mathematics, Operations Research, or related field
- Minimum of 3 years of professional experience working as a Data Scientist with an emphasis on statistical/algorithmic/predictive sales modeling for sales and tableau data visualization presentations to business unit stakeholders.
- Demonstrated experience building deployed prediction models to create business value in sales and marketing applications
- Strong analytical mind and business acumen; ability to translate mathematical models and results into business concepts
- Excellent interpersonal, written, and verbal communication skills; demonstrated ability to effectively communicate complex ideas to a non-technical audience
- Strong written and verbal communication skills as the role demands a high-level of confidence and demonstrated excellence in presenting business cases to the CoE BA/SP/MR teams during conference room/WebEx meetings.
TECHNICAL SKILLS REQUIREMENTS
- Experience in building predictive models in R or Python (Pandas/PySpark)
- Experience in large-scale/distributed computing and analytics (Hadoop, Spark)
- Strong statistics acumen including design of experiments
- Knowledge of SQL
- Experience with source control and collaboration tools (e.g. Git)
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