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207 results (14 new)

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Data scientist

Nityo Infotech Corporation

San Antonio, Texas • Today

Easy Apply

Contract

Depends on Experience

Senior Data Scientist

Booz Allen Hamilton

San Antonio, Texas • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Senior Data Scientist

Booz Allen Hamilton

San Antonio, Texas • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Senior AI Data Scientist - Solutions Developer

USAA

San Antonio, Texas • Today

Full-time

USD 143,320.00 - 273,930.00 per year

Data Scientist Senior

USAA

San Antonio, Texas • Today

Full-time

Compensation information provided in the description

Data Scientist

GARGI TECHNOLOGIES INC

San Antonio, Texas • 5d ago

Easy Apply

Full-time

70,000 - 110,000

Data Scientist

Lorven Technologies, Inc.

Remote • Today

Easy Apply

Full-time, Third Party

Depends on Experience

Data Scientist

Lorven Technologies, Inc.

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Senior Data Scientist

Capital Staffing Solutions

Remote • 14d ago

Easy Apply

Contract

80+

Data Scientist Level 3

IntelliGenesis LLC

San Antonio, Texas • Today

Full-time

USD 92,000.00 - 126,000.00 per year

Research Data Scientist Support Services

BBNC

San Antonio, Texas • Today

Full-time

Full Stack Java/React Developer - Data Scientist Senior Associate

JPMorgan Chase & Co.

San Antonio, Texas • Today

Full-time

Contract-W2: Data Scientist

Everest Technologies

Remote • Today

Easy Apply

Full-time, Third Party

Depends on Experience

AI Data Scientist

Everest Technologies

Remote • Today

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist

SANS

Remote • Today

Easy Apply

Full-time

Depends on Experience

Data Engineer/Data Scientist (Capacity Planning-Forecasting)

Bayside Solutions

Remote • Today

Easy Apply

Contract

$60 - $70 per hour

Data Scientist (Snowflake Cortex AI)

GreyMatter Solutions

Remote • 10d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist (Consumer Technology space)

SANS

Remote • 27d ago

Easy Apply

Contract

$125 - $135

Data Scientist with Neural Networks AND Machine Learning

ApTask

Remote • 6d ago

Easy Apply

Contract

50 - 55

Senior Data Scientist

Fiekon

Remote • 9d ago

Easy Apply

Full-time

Depends on Experience

100% Remote - QA Automation OR Data Scientist with AI Exp.

SDH Systems

Remote or Arkansas • Today

Contract

Data Scientist

Robert Half

Remote or Bala Cynwyd, Pennsylvania • Today

Easy Apply

Contract

Data Scientist

Amgen Inc

Remote • 17d ago

Full-time

USD 134,168.25 - 181,521.75 per year

Data Scientist

Empower Pharmacy

Remote • Today

Full-time

Data Scientist

VAAM Technologies

Remote • Today

Easy Apply

Full-time

$90+

Data Scientist

Amgen Inc

Remote or Thousand Oaks, California • 17d ago

Full-time

USD 103,852.15 - 140,505.85 per year

Data Scientist

iCUBE Solutions

Remote • 4d ago

Easy Apply

Contract

$60 - $65

Data Scientist

Fulton Bank

Remote or Pennsylvania • Today

Full-time

USD 72,500.00 - 120,800.00 per year

Data Scientist

FlairTech Solutions

Remote • Today

Easy Apply

Contract

Depends on Experience

Data Scientist

Enterprise Holdings

Remote or St. Louis, Missouri • 20d ago

Full-time

Job Details

Skills

San Antonio
TX

Summary

Feature Selection, Feature Engineering, Statistical Modeling, Model Building, Machine Learning, Python, SQL, NLP, Data Engineering, ETL/ELT, Data Pipeline Development.

Key Responsibilities

Lead feature selection initiatives using advanced statistical techniques such as correlation analysis, hypothesis testing, regression analysis, Information Value (IV), Weight of Evidence (WoE), PCA, and feature importance methods.
Analyze large and complex datasets to identify, evaluate, and prioritize key variables that significantly influence business outcomes and predictive performance.
Design, develop, and maintain scalable feature engineering frameworks for both structured and unstructured data sources.
Perform exploratory data analysis (EDA), data profiling, and statistical validation to uncover meaningful patterns, relationships, and predictive features.
Utilize Python and SQL to extract, transform, analyze, and validate data while ensuring data quality and consistency across analytical workflows.
Build, train, validate, and optimize Machine Learning models using appropriate algorithms and techniques to solve business problems and improve predictive accuracy.
Apply Machine Learning algorithms to assess feature effectiveness, validate feature sets, and improve model accuracy, robustness, and interpretability.
Leverage NLP techniques to extract, engineer, and optimize features from textual data for downstream analytics and predictive modeling.
Collaborate closely with business stakeholders, product teams, and data engineers to translate business requirements into meaningful analytical features, predictive models, and actionable insights.
Build, optimize, and productionize data pipelines and feature datasets, working with Data Engineering teams to ensure scalability, efficiency, governance, and operational readiness.
Conduct Data Engineering handover activities by documenting data pipelines, feature engineering logic, model inputs/outputs, transformation rules, and deployment requirements to ensure seamless transition to engineering and operations teams.
Support model deployment, monitoring, performance tracking, and continuous improvement by partnering with Data Engineering and MLOps teams.
Document feature selection methodologies, model development processes, statistical findings, assumptions, and recommendations while establishing best practices for reusable and automated analytics solutions.

Required Skills

8+ years of experience in Data Science, Analytics, or Machine Learning.
Strong expertise in Feature Selection, Feature Engineering, Statistical Modeling, and Predictive Modeling.
Deep understanding of Statistics, Hypothesis

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.

Dice Id: 10200946b
Position Id: 9097081
Posted 1 hour ago

Fitment

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Contact the job poster

Meenakshi Kaur

Recruiter @ Nityo Infotech Corporation

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Job Details

Skills

San Antonio
TX

Summary

Feature Selection, Feature Engineering, Statistical Modeling, Model Building, Machine Learning, Python, SQL, NLP, Data Engineering, ETL/ELT, Data Pipeline Development.

Key Responsibilities

Lead feature selection initiatives using advanced statistical techniques such as correlation analysis, hypothesis testing, regression analysis, Information Value (IV), Weight of Evidence (WoE), PCA, and feature importance methods.
Analyze large and complex datasets to identify, evaluate, and prioritize key variables that significantly influence business outcomes and predictive performance.
Design, develop, and maintain scalable feature engineering frameworks for both structured and unstructured data sources.
Perform exploratory data analysis (EDA), data profiling, and statistical validation to uncover meaningful patterns, relationships, and predictive features.
Utilize Python and SQL to extract, transform, analyze, and validate data while ensuring data quality and consistency across analytical workflows.
Build, train, validate, and optimize Machine Learning models using appropriate algorithms and techniques to solve business problems and improve predictive accuracy.
Apply Machine Learning algorithms to assess feature effectiveness, validate feature sets, and improve model accuracy, robustness, and interpretability.
Leverage NLP techniques to extract, engineer, and optimize features from textual data for downstream analytics and predictive modeling.
Collaborate closely with business stakeholders, product teams, and data engineers to translate business requirements into meaningful analytical features, predictive models, and actionable insights.
Build, optimize, and productionize data pipelines and feature datasets, working with Data Engineering teams to ensure scalability, efficiency, governance, and operational readiness.
Conduct Data Engineering handover activities by documenting data pipelines, feature engineering logic, model inputs/outputs, transformation rules, and deployment requirements to ensure seamless transition to engineering and operations teams.
Support model deployment, monitoring, performance tracking, and continuous improvement by partnering with Data Engineering and MLOps teams.
Document feature selection methodologies, model development processes, statistical findings, assumptions, and recommendations while establishing best practices for reusable and automated analytics solutions.

Required Skills

8+ years of experience in Data Science, Analytics, or Machine Learning.
Strong expertise in Feature Selection, Feature Engineering, Statistical Modeling, and Predictive Modeling.
Deep understanding of Statistics, Hypothesis

Dice Id: 10200946b
Position Id: 9097081
Posted 1 hour ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Meenakshi Kaur

Recruiter @ Nityo Infotech Corporation

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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