Overview
On Site
$55 - $60 hourly
Contract - W2
Contract - Temp
Skills
Customer Experience
HATS
Systems Design
Research
Innovation
PySpark
Python
Training
Amazon Web Services
Microsoft Azure
Docker
Kubernetes
Machine Learning (ML)
Unstructured Data
Data Science
SQL
Databricks
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client in Irving, TX that is seeking a Data Scientist who will be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.
Summary:
The Data Scientist will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Engineers at this company have solid technical background but enjoy learning new languages, technologies, and frameworks. From creating an experimental machine learning prototype to deploying a production-ready backend, engineers at this company take many hats to see projects to completion.
Key Responsibilities:
* Research, prototype, and develop AI solutions to build personalized systems
* Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products
* Stay up to date with emerging technology and learn new technologies/libraries/frameworks
* Learn and partner with peers across multiple disciplines, such as data, product, and systems design
* Deliver on time with a high bar on quality of research, innovation and engineering
REQUIREMENTS:
* Bachelor's degree or higher in Computer Science/Engineering/Math, or relevant experience
* 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation, etc.
* 2+ years of experience with SQL, PySpark and Python
* 2+ years of experience training, evaluating and deploying Machine Learning models
* 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure
* Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
Nice to have:
* Experience with Databricks platform
* Experience building ML models with large amounts of structured and unstructured data
Additional Skills:
* Statistical Data Science
* SQL
* PySpark
* Databricks is a plus
* Customer Data & Recommendations systems is a plus
* Customer Segmentation is a plus
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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client in Irving, TX that is seeking a Data Scientist who will be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.
Summary:
The Data Scientist will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Engineers at this company have solid technical background but enjoy learning new languages, technologies, and frameworks. From creating an experimental machine learning prototype to deploying a production-ready backend, engineers at this company take many hats to see projects to completion.
Key Responsibilities:
* Research, prototype, and develop AI solutions to build personalized systems
* Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products
* Stay up to date with emerging technology and learn new technologies/libraries/frameworks
* Learn and partner with peers across multiple disciplines, such as data, product, and systems design
* Deliver on time with a high bar on quality of research, innovation and engineering
REQUIREMENTS:
* Bachelor's degree or higher in Computer Science/Engineering/Math, or relevant experience
* 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation, etc.
* 2+ years of experience with SQL, PySpark and Python
* 2+ years of experience training, evaluating and deploying Machine Learning models
* 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure
* Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
Nice to have:
* Experience with Databricks platform
* Experience building ML models with large amounts of structured and unstructured data
Additional Skills:
* Statistical Data Science
* SQL
* PySpark
* Databricks is a plus
* Customer Data & Recommendations systems is a plus
* Customer Segmentation is a plus
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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.