

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date discovered
September 16, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Atlanta, GA
-
π§ - Skills detailed
#Model Validation #Snowflake #Storytelling #Regression #Python #Cloud #Data Science #NumPy #Pandas #Libraries #AI (Artificial Intelligence) #Data Analysis #ML (Machine Learning) #AWS SageMaker #Datasets #Data Storytelling #Time Series #Statistics #AWS (Amazon Web Services) #SageMaker #Azure
Role description
Responsibilities
Kforce has a client in Atlanta, GA that is seeking a hybrid Data Scientist to join their team. We are seeking an experienced Data Scientist with 5+ years of hands-on expertise in statistical modeling, cloud-based machine learning, and data storytelling. This role is ideal for someone who thrives on solving complex business problems with data and can effectively communicate insights to non-technical stakeholders. Key Responsibilities:
β’ Translate complex analytical findings into clear, actionable insights for business leaders and cross-functional teams
β’ Apply advanced statistical techniques including regression analysis, time series modeling, feature selection, and model validation
β’ Clean, join, and analyze large, messy datasets from diverse sources to uncover meaningful patterns and trends
β’ Build, deploy, and manage predictive models using cloud platforms such as Vertex AI (Google Cloud), Snowflake ML, AWS SageMaker, Azure ML, or similar
β’ Conduct data analysis and modeling using Python and core libraries (Pandas, NumPy, Scikit-learn, Statsmodels)
β’ Collaborate with product, engineering, and business teams to drive data-informed decision-making
Requirements
β’ 5+ years of experience in data science, analytics, or a related field
β’ Experience with cloud ML platforms and model lifecycle management
β’ Strong foundation in statistics and machine learning
β’ Proficiency in Python for data analysis and modeling
β’ Comfort working with large, unstructured datasets
β’ Proven ability to communicate technical concepts to non-technical audiences
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 βApply Todayβ 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.
Responsibilities
Kforce has a client in Atlanta, GA that is seeking a hybrid Data Scientist to join their team. We are seeking an experienced Data Scientist with 5+ years of hands-on expertise in statistical modeling, cloud-based machine learning, and data storytelling. This role is ideal for someone who thrives on solving complex business problems with data and can effectively communicate insights to non-technical stakeholders. Key Responsibilities:
β’ Translate complex analytical findings into clear, actionable insights for business leaders and cross-functional teams
β’ Apply advanced statistical techniques including regression analysis, time series modeling, feature selection, and model validation
β’ Clean, join, and analyze large, messy datasets from diverse sources to uncover meaningful patterns and trends
β’ Build, deploy, and manage predictive models using cloud platforms such as Vertex AI (Google Cloud), Snowflake ML, AWS SageMaker, Azure ML, or similar
β’ Conduct data analysis and modeling using Python and core libraries (Pandas, NumPy, Scikit-learn, Statsmodels)
β’ Collaborate with product, engineering, and business teams to drive data-informed decision-making
Requirements
β’ 5+ years of experience in data science, analytics, or a related field
β’ Experience with cloud ML platforms and model lifecycle management
β’ Strong foundation in statistics and machine learning
β’ Proficiency in Python for data analysis and modeling
β’ Comfort working with large, unstructured datasets
β’ Proven ability to communicate technical concepts to non-technical audiences
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 βApply Todayβ 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.