Overview
Remote
On Site
$60 - $70 hourly
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Temp
Skills
Analytical Skill
Data Collection
Evaluation
Decision-making
Innovation
Data Engineering
Attention To Detail
Data Quality
Python
MySQL
PostgreSQL
Apache Hive
SQL
Snow Flake Schema
Cisco
Modeling
Machine Learning (ML)
Fraud
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client in San Antonio, TX that is seeking a Data Scientist with expertise in machine learning (ML) and artificial intelligence (AI).
Summary:
The Data Scientist is a professional who applies advanced analytical and computational techniques to extract insights from data, build predictive models, and develop intelligent systems. Their role typically encompasses the entire data lifecycle, from data collection and preparation to model deployment and evaluation. As a Data Scientist, you will be extracting meaningful insights from complex datasets, identifying patterns, and interpreting data to inform strategic decision-making. Data Scientists with ML and AI expertise play a crucial role in today's data-driven landscape, helping organizations leverage data and technology to achieve business goals and drive innovation.
REQUIREMENTS:
* Master's degree in Computer Science, Data Science, Statistics, or a related field; PhD or additional experience is often preferred
* 5+ years of experience as a Data Scientist with a strong background in data engineering and model development
* 2-5 years of experience with Risk Modeling and Geo-Spatial Modeling
* Demonstrated ability to solve complex data problems with limited initial information
* Experience working effectively in a collaborative environment with diverse stakeholders
* Exceptional attention to detail and commitment to data quality
* Proficiency in: Python, SQL (MySQL, PostgreSQL, Apache Hive, BigQuery SQL), and Snowflake
Hands-on experience with:
* Machine Learning (Cisco Modeling preferred, open to general ML techniques): Proven experience building and deploying machine learning models in a production environment.
* Model Development & Automation
* Fraud Models or Fraud Indicators
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 San Antonio, TX that is seeking a Data Scientist with expertise in machine learning (ML) and artificial intelligence (AI).
Summary:
The Data Scientist is a professional who applies advanced analytical and computational techniques to extract insights from data, build predictive models, and develop intelligent systems. Their role typically encompasses the entire data lifecycle, from data collection and preparation to model deployment and evaluation. As a Data Scientist, you will be extracting meaningful insights from complex datasets, identifying patterns, and interpreting data to inform strategic decision-making. Data Scientists with ML and AI expertise play a crucial role in today's data-driven landscape, helping organizations leverage data and technology to achieve business goals and drive innovation.
REQUIREMENTS:
* Master's degree in Computer Science, Data Science, Statistics, or a related field; PhD or additional experience is often preferred
* 5+ years of experience as a Data Scientist with a strong background in data engineering and model development
* 2-5 years of experience with Risk Modeling and Geo-Spatial Modeling
* Demonstrated ability to solve complex data problems with limited initial information
* Experience working effectively in a collaborative environment with diverse stakeholders
* Exceptional attention to detail and commitment to data quality
* Proficiency in: Python, SQL (MySQL, PostgreSQL, Apache Hive, BigQuery SQL), and Snowflake
Hands-on experience with:
* Machine Learning (Cisco Modeling preferred, open to general ML techniques): Proven experience building and deploying machine learning models in a production environment.
* Model Development & Automation
* Fraud Models or Fraud Indicators
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.