Senior Data Scientist

Location: Austin, TX
Job Type:

IQ Workforce is a leading recruiting firm for the global analytics community. We are working with one of the fastest growing consulting companies in the world on this exciting role.

They are looking for a Data Scientist to join their consulting team to deliver machine learning and NLP solutions for one of their flagship clients – a Fortune 500 technology company.

In this work you will work in the client’s Austin headquarters developing machine learning and Natural Language Processing solutions that automate and enhance global customer & technical support.

Responsibilities:

Perform analytics tasks independently and lead offshore delivery teams

Own the end-to-end management of analytical modeling projects along with ensuring quality, accuracy, and relevancy of results and recommendations

Anticipate client’s unarticulated needs and formulate solutions to resolve business issues

Contribute to new business pilots/proposals as well as product/solution development

Collaborate with multiple areas of the business including; service delivery, client engagement, business and practice development

Work closely with customers to design best-in-class processes and practices that help augment decision support capabilities

Requirements:

Expertise across statistical techniques such as; NLP (Natural Language Processing), ML (Machine Learning), time series analysis, propensity modeling and their applications

Knowledge of SQL, Python and/or R. Hadoop, SAS, Tableau, SPSS, Spotfire, MS BI are a plus

Deep understanding of data manipulation technologies and data platforms (based on either prepackaged ETL tools and/or custom programming)

Excellent communication and interpersonal skills, both written and verbal. Ability to interact with clients from C-Suite to managers and technical specialists as well as present complex technical concepts to a non-technical audience

Academic degree(s) in computer science, mathematics, engineering or equivalent professional experience

4+ years of experience in predictive modeling, data science or analytics