Kforce Hiring for Data Scientist at Austin, Texas Full Time

Kforce has a client in Austin, TX that is seeking a Data Scientist that will be responsible for identifying the nuanced impact of customer-centric initiatives designed to improve and streamline the support experience of our subscriber base. These day-to-day tasks will include defining or assessing work requirements, problem discovery with stakeholders, architecting solutions to solve problems big and small. Work products include designing new metrics to better measure customer experience, predictive analytics, statistical modeling, machine learning, automation, and data engineering.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

• 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 then work closely with the operations team to define the implementation of these solutions

• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed

• 5 years of data manipulation and statistical modeling experience

• 5 years of programming experience

• Must be self-motivated, results-driven, team player able to work with minimum supervision

• Outstanding interpersonal, communication, and customer relationship skills – able to work effectively with customers from developers and Ops personnel through senior management

• Excellent analytical and problem solving skills with attention to detail and data accuracy

• Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks, Naive Bayes, SVM, Decision Forests

• Proven ability in data wrangling, modeling, visualization, machine learning, and project leadership

• Proven ability to clearly communicate insights in PowerPoint and Excel

• Advanced level with Python

• Advanced level with database languages: Snowflake, SQL, and Hive QL

• Advanced level with data visualization, ideally Tableau, PowerBI, or MicroStrategy

• Intermediate level with version control systems such as GitHub, GitLab, BitBucket

• Experience with: NLP and text based extraction techniques

• Experience with big data tools/platforms such as Hadoop, Spark, Kafka, Hive, etc.

• Desirable experience with call center or telecom data

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Compensation Type:HoursMinimum Compensation:50.00Maximum Compensation:70.00