194 results (8 new)

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GARGI TECHNOLOGIES INC

Austin, Nevada • Today

Easy Apply

Full-time

70,000 - 120,000

Senior Data Scientist

Fiekon

Remote • 4d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist

SANS

Remote • Yesterday

Easy Apply

Full-time

Depends on Experience

Data Scientist

FlairTech Solutions

Remote • Today

Easy Apply

Contract

Depends on Experience

Data Scientist with Databricks

The Avian Consulting LLC

Remote • Yesterday

Easy Apply

Contract

$60 - $70

Senior Data Scientist

Capital Staffing Solutions

Remote • 8d ago

Easy Apply

Contract

80+

AI Data Scientist

Everest Technologies

Remote • Yesterday

Easy Apply

Full-time

Depends on Experience

Data Scientist (Snowflake Cortex AI)

GreyMatter Solutions

Remote • 4d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist (Consumer Technology space)

SANS

Remote • 21d ago

Easy Apply

Contract

$125 - $135

Data Scientist with Neural Networks AND Machine Learning

ApTask

Remote • Today

Easy Apply

Contract

50 - 55

Data Engineer/Data Scientist (Capacity Planning-Forecasting)

Bayside Solutions

Remote • Today

Easy Apply

Contract

$60 - $70 per hour

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

SDH Systems

Remote or Arkansas • Today

Contract

Data Scientist

Amgen Inc

Remote • 12d ago

Full-time

USD 134,168.25 - 181,521.75 per year

Data Scientist

Amgen Inc

Remote or Thousand Oaks, California • 12d ago

Full-time

USD 103,852.15 - 140,505.85 per year

Data Scientist

Parsons Services Company

Remote • Today

Full-time

USD 112,200.00 - 196,400.00 per year

Data Scientist

Enterprise Holdings

Remote or St. Louis, Missouri • 15d ago

Full-time

Data Scientist

PETCO

Remote or Texas • Today

Full-time

Data Scientist

Kforce Technology Staffing

Remote or Saint Paul, Minnesota • Today

Contract, Third Party

$95.00 - $107.50 hourly

Data Scientist

Empower Pharmacy

Remote • Today

Full-time

Senior Data Scientist

Immersion Consulting

Remote • Today

Full-time

Data Scientist

Swish Analytics

Remote or San Francisco, California • Today

Full-time

USD 150,000.00 per year

Data Scientist

Oteemo Inc

Remote • Today

Full-time

Data Scientist

McKesson Corporation

Remote • Today

Full-time

USD 91,800.00 - 153,000.00 per year

Data Scientist

Stitch Fix

Remote • Today

Full-time

USD 150,000.00 - 177,000.00 per year

Energy Data Scientist

EnergyHub, Inc.

Remote • Today

Full-time

USD 100,000.00 - 156,750.00 per year

Data Scientist (Remote)

Elder Research

Remote or Arlington, Virginia • Today

Full-time

Senior Data Scientist

Booz Allen Hamilton

Remote • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Principal Data Scientist

CVS Health

Remote or Chicago, Illinois • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Senior Data Scientist

Akshaya Inc

Remote • 29d ago

Easy Apply

Contract

Depends on Experience

Strategic Data Scientist

McKesson Corporation

Remote or Columbus, Ohio • Today

Full-time

USD 108,800.00 - 181,300.00 per year

GARGI TECHNOLOGIES INC

Job Details

Skills

Skills Required: Python
SQL
Machine Learning
Deep Learning
Statistics
Probability
Data Analysis
Data Visualization
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Power BI
Tableau
Excel
NLP
Predictive Modeling
Feature Engineering
Model Evaluation
ETL
Git
AWS/Azure/GCP
Generative AI
Large Language Models (LLMs)

Summary

Data Scientist

Location: Austin
Employment Type: Full-time
Experience: [1–5 years]
Department: Data & Analytics
Reports To: [Hiring Manager / Head of Data]

About the Role

We are looking for a talented and analytical Data Scientist to join our team. In this role, you will work with large and complex datasets to uncover actionable insights, build predictive models, and develop data-driven solutions that support business objectives.

The ideal candidate combines strong statistical and machine-learning skills with the ability to translate business problems into practical data solutions.

Key Responsibilities

Analyze large datasets to identify trends, patterns, and actionable insights.
Develop, evaluate, and deploy machine-learning and statistical models.
Work on predictive modeling, classification, regression, clustering, and forecasting problems.
Clean, preprocess, and transform structured and unstructured data.
Design and evaluate experiments and statistical analyses.
Collaborate with product, engineering, business, and analytics teams to solve business problems.
Create data visualizations and communicate findings clearly to technical and non-technical stakeholders.
Monitor model performance and improve models as business requirements evolve.
Develop reusable data-science workflows, documentation, and best practices.
Stay current with developments in machine learning, AI, statistics, and data science.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
[2–5] years of relevant experience in data science, machine learning, or analytics.
Strong programming skills in Python or R.
Strong knowledge of SQL and experience working with databases.
Hands-on experience with machine-learning libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Strong understanding of statistics, probability, and machine-learning concepts.
Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn.
Ability to communicate technical findings clearly and effectively.
Strong analytical, problem-solving, and critical-thinking skills.

Preferred Qualifications

Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
Experience with big-data technologies such as Spark.
Familiarity with MLOps, model deployment, APIs, and production machine-learning systems.
Experience with NLP, computer vision, recommendation systems, or generative AI.
Experience using Git and modern software-development practices.

What We Offer

Competitive salary and benefits.
Opportunity to work on meaningful, data-driven projects.
Collaborative and innovative work environment.
Learning and professional-development opportunities.
Flexible work arrangements, where applicable.
Opportunity to work with modern data and AI technologies.

How to Apply

Interested candidates can share their resume/CV along with relevant project or portfolio links at [email/contact/application link].

Subject: Application – Data Scientist – [Candidate Name]

We are an equal-opportunity employer and welcome candidates from diverse backgrounds.

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: 91141579
Position Id: 9092304
Posted 10 hours ago

Company Info

About GARGI TECHNOLOGIES INC

WE ARE COMMITTED

The commitment to work is a key component to our culture of work. We work hard to offer solutions that will impact your company's expansion and growth.

WE ARE PROFESSIONAL

Our well-defined processes and systems allow us to offer services to our customers with the highest level of professionalism and excellence.

WE ARE ACHIEVERS

We are always able to achieve our goals; constantly strive to improve these results and to be constant in our performance. We have the ability to accomplish.

Go to company profile

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

Prabhat Mishra

Recruiter @ GARGI TECHNOLOGIES INC

View Profile

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GARGI TECHNOLOGIES INC

Job Details

Skills

Skills Required: Python
SQL
Machine Learning
Deep Learning
Statistics
Probability
Data Analysis
Data Visualization
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Power BI
Tableau
Excel
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Summary

Data Scientist

Location: Austin
Employment Type: Full-time
Experience: [1–5 years]
Department: Data & Analytics
Reports To: [Hiring Manager / Head of Data]

About the Role

The ideal candidate combines strong statistical and machine-learning skills with the ability to translate business problems into practical data solutions.

Key Responsibilities

Analyze large datasets to identify trends, patterns, and actionable insights.
Develop, evaluate, and deploy machine-learning and statistical models.
Work on predictive modeling, classification, regression, clustering, and forecasting problems.
Clean, preprocess, and transform structured and unstructured data.
Design and evaluate experiments and statistical analyses.
Collaborate with product, engineering, business, and analytics teams to solve business problems.
Create data visualizations and communicate findings clearly to technical and non-technical stakeholders.
Monitor model performance and improve models as business requirements evolve.
Develop reusable data-science workflows, documentation, and best practices.
Stay current with developments in machine learning, AI, statistics, and data science.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
[2–5] years of relevant experience in data science, machine learning, or analytics.
Strong programming skills in Python or R.
Strong knowledge of SQL and experience working with databases.
Hands-on experience with machine-learning libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Strong understanding of statistics, probability, and machine-learning concepts.
Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn.
Ability to communicate technical findings clearly and effectively.
Strong analytical, problem-solving, and critical-thinking skills.

Preferred Qualifications

Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
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Experience using Git and modern software-development practices.

What We Offer

Competitive salary and benefits.
Opportunity to work on meaningful, data-driven projects.
Collaborative and innovative work environment.
Learning and professional-development opportunities.
Flexible work arrangements, where applicable.
Opportunity to work with modern data and AI technologies.

How to Apply

Interested candidates can share their resume/CV along with relevant project or portfolio links at [email/contact/application link].

Subject: Application – Data Scientist – [Candidate Name]

We are an equal-opportunity employer and welcome candidates from diverse backgrounds.

Dice Id: 91141579
Position Id: 9092304
Posted 10 hours ago

Company Info

About GARGI TECHNOLOGIES INC

WE ARE COMMITTED

The commitment to work is a key component to our culture of work. We work hard to offer solutions that will impact your company's expansion and growth.

WE ARE PROFESSIONAL

Our well-defined processes and systems allow us to offer services to our customers with the highest level of professionalism and excellence.

WE ARE ACHIEVERS

We are always able to achieve our goals; constantly strive to improve these results and to be constant in our performance. We have the ability to accomplish.

Go to company profile

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

Prabhat Mishra

Recruiter @ GARGI TECHNOLOGIES INC

View Profile

Create job alert

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

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