Overview
On Site
$45 - $50 hourly
Contract - W2
Contract - Temp
Skills
Algorithms
Computer Vision
Systems Design
Research
Innovation
Design Of Experiments
A/B Testing
Big Data
PySpark
SQL
Science
Databricks
Microsoft Azure
Mathematics
Data Visualization
Python
Microsoft Power BI
Machine Learning (ML)
Evaluation
Performance Monitoring
KPI
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client in Irving, TX that is seeking a Data Analyst responsible for analyzing data that we feed into our machine learning models and analyzing data from production to gather critical and intuitive insights to improve our models and algorithms. The Data Analyst will be visualizing these insights and help communicate results to the business effectively. Candidates must have a solid technical background, but enjoy learning new languages, technologies, and frameworks. The Data Analyst will use Databricks as their primary tool to derive valuable insights and provide them back to the business.
Key Responsibilities:
* Research, prototype, and build analysis and visualizations for our Machine Learning pipeline
* Stay up to date with emerging technology and learn new technologies/libraries/frameworks
* Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, 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
* 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing
* 4+ years of experience in manipulating big data using Python, PySpark, or SQL
* 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred)
* Strong knowledge of statistical techniques and advanced mathematics
* Expert Experience with data visualization tools in Python, PowerBI, etc.
Preferred Qualifications:
* Master's Degree or higher in Computer Science/Engineering/Math, or relevant experience
* Experience working with Machine Learning models - evaluation, observability, and performance monitoring
* Experience working closely with a business team to determine primary KPIs on an ambiguous problem
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 Analyst responsible for analyzing data that we feed into our machine learning models and analyzing data from production to gather critical and intuitive insights to improve our models and algorithms. The Data Analyst will be visualizing these insights and help communicate results to the business effectively. Candidates must have a solid technical background, but enjoy learning new languages, technologies, and frameworks. The Data Analyst will use Databricks as their primary tool to derive valuable insights and provide them back to the business.
Key Responsibilities:
* Research, prototype, and build analysis and visualizations for our Machine Learning pipeline
* Stay up to date with emerging technology and learn new technologies/libraries/frameworks
* Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, 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
* 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing
* 4+ years of experience in manipulating big data using Python, PySpark, or SQL
* 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred)
* Strong knowledge of statistical techniques and advanced mathematics
* Expert Experience with data visualization tools in Python, PowerBI, etc.
Preferred Qualifications:
* Master's Degree or higher in Computer Science/Engineering/Math, or relevant experience
* Experience working with Machine Learning models - evaluation, observability, and performance monitoring
* Experience working closely with a business team to determine primary KPIs on an ambiguous problem
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.