Data Scientist

Compensation

: $94,220.00 - $132,520.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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JOB SUMMARY
Responsible for scoping, developing, modeling, implementing, and delivering robust data analytics by using Teradata Aster and/or other analytic tools.
MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently support all efforts to simplify and enhance the customer experience
Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution
Clearly communicate the benefits of the analytic solutions to both a business as well as a technical audience
Leverage knowledge in analytic and statistical algorithms to help customers explore methods to improve their business
Lead large-scale analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report
Design, build, and extract large and complex data sets while thinking strategically about uses of data and how data use interacts with data design
Lead large-scale data studies and data discovery for new data sources or new uses for existing data sources
Lead design and implementation of statistical data quality procedures for existing and new data sources
Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders
Establish links across existing data sources and find new, interesting data correlations
Work closely with the sales team to come up with analytical solutions for prospects
Work closely with the operations team to define the implementation of these solutions
Achieve business value of analytics through deployment of the nCluster database
Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed
Willing to learn: Develop expertise in areas outside of core comfort zone
REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge
Ability to read, write, speak and understand English
Excellent team player
Must be self-motivated, results-driven, and able to work with minimum supervision
Intellectually curious
Outstanding interpersonal, communication and customer relationship skills able to work effectively with customers from developers and Ops personnel through senior management
Extensive experience with analytical and statistical software
Extensive experience with design and implementation of data warehousing, relational databases, and associated infrastructures
Passionate about data maintenance, data quality control and all other important data analysis techniques
Excellent analytical and problem solving skills with attention to detail and data accuracy
Strong interpersonal communication, verbal and written, relationship management, and customer service skills with a focus on working effectively in a team environment
Ability to use MS Office Suite (Word, Excel, PP, Access, Visio)
Ability to work cross-functionally to solve complex problems and improve quality and service
Ability to perform involved and independent research and analysis
Ability to maintain confidentiality and appropriately handle sensitive information
Related Work Experience
5+ years of data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer
5+ years of programming experience
Education
MS or PhD in Computer Science, Physics, Math, Statistics, Economics, Quantitative Analysis or equivalent experience
PREFERRED QUALIFICATIONS
Skills/Abilities and Knowledge
Extensive experience with data programming languages such as SQL
Extensive experience with large data sets or Big Data
Experience with distributed computing tools such as Hadoop or Map/Reduce
WORKING CONDITIONS
Office Environment
Travel as required
Associated topics: data architect, data center, data engineer, data integration, data quality, data warehousing, database administrator, erp, sybase, teradata * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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