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Fulltime Data Science Jobs in Texas (NOW HIRING)

Michaels Stores, Inc.

Manager - Data Science

Irving, TX · On-site

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... for both full-time and part-time Team Members. Our benefits include health insurance (medical ...

Victory

Data Scientist

Austin, TX · On-site

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Waypoint Human Capital

Data Scientist

San Antonio, TX · On-site

Data Scientist Position Type: Full-time, On-Site Location: San Antonio, TX Clearance: Active TS/SCI Waypoint's client is seeking an experienced Data Scientist to support the Joint Electromagnetic ...

Bread Financial

Data Scientist

Frisco, TX · On-site +1

$101K - $198K/yr

Job Summary The Data Science role at Bread Financial delivers best-in-class actionable business ... You must be work authorized in the United States on a full time basis without the need for any ...

IGNITE

DATA SCIENTIST

San Antonio, TX · On-site

Job Title DATA SCIENTIST Location San Antonio, TX US (Primary) Category Information Technology Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...

NAVA Software Solutions

Lead Data Scientist

Houston, TX · On-site

Houston TX - 4 days onsite Duration: Full time /Direct Hire The Lead Data Scientist will spearhead the design, development, implementation and maintenance and improvement of advanced data science ...

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All JobsFulltime Data Science JobsFulltime Data Science Jobs in Texas

Fulltime Data Science information

What is the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

What are popular job titles related to Fulltime Data Science jobs in Texas? For Fulltime Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Fulltime Data Science jobs in Texas look for? The top searched job categories for Fulltime Data Science jobs in Texas are:
What cities in Texas are hiring for Fulltime Data Science jobs? Cities in Texas with the most Fulltime Data Science job openings:
Fulltime Data Science jobs near you
Data Scientist / Data Science Specialist

Data Scientist / Data Science Specialist

Adidev Technologies Inc

Dallas, TX

Full-time

Posted 23 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

JOB RESPONSIBILITIES

 

  • Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.

  • Develop novel ways to help business partners achieve objectives through analysis and modeling

  • Curate and connect external data sets for broad enterprise-wide analytic usage

  • Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams

  • Utilize machine learning to create repeatable, dynamic, and scalable models

  • Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods

  • Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS

 

  • Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources

  • Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights

  • Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage

  • Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.

  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

  • Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)

  • Familiarity with MLOps frameworks like MLflow.

  • Familiarity with SQL.

  • Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.

  • Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications

  • Experience with Python and R, comfortable working with DataFrames

  • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)

  • Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit

  • Experience working with version control systems such as Git and SVN

  • Experience writing complex SQL queries

  • Understanding data warehousing and databases is critical

  • Experience with business intelligence/ visualization tools such as Qlik, Tableau or  PowerBI

QUALIFICATIONS

  • ·Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science

  • Experience with Python

  • Experience with machine learning, Deep Learning

  • Mathematical and statistical background

  • Experience with Hadoop, Hive, and/or Spark

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours) 

Employment Type: FULL_TIME

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