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Relocation Package Data Science Jobs in Texas (NOW HIRING)

Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering ... Experience: Minimum 2+ years of experience Relocation: This position will not cover relocation ...

Arrive Logistics

Senior Data Scientist

Austin, TX · On-site

Act as a senior technical owner and reviewer for data science work across the team. Qualifications ... Get relocation assistance! If you are not local to the area, we offer relocation packages. Your ...

Arrive Logistics

Senior Data Scientist

Austin, TX · On-site

Act as a senior technical owner and reviewer for data science work across the team. Qualifications ... Get relocation assistance! If you are not local to the area, we offer relocation packages. Your ...

Mastech Digital

Data Scientist

Irving, TX

$65 - $70/hr

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering ... Experience: Minimum 2+ years of experience Relocation: This position will not cover relocation ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last ... Paid Relocation * Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last ... Paid Relocation * Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract ...

LPL Financial

Sr. Analyst, Data Science

Austin, TX

$85.90K - $143.17K/yr

This role is ideal for a data scientist who is equally comfortable writing code, building models ... Additionally, LPL Total Rewards package is highly competitive, designed to support your success at ...

Hp

AI Data Scientist

Spring, TX

$130.70K - $205.20K/yr

Represents the data science team for all phases of larger and more-complex development projects ... HP offers a comprehensive benefits package for this position, including: Health insurance Dental ...

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130.70K - $205.20K/yr

Strong foundation in data science and core machine learning concepts. * Experience with large ... HP offers a comprehensive benefits package for this position, including: Health insurance Dental ...

Brookfield

Senior Data Scientist

Houston, TX

$90.80K - $145K/yr

Prioritizes, scopes and manages data science projects and the corresponding key performance ... package, performance-based incentives, and a comprehensive benefits program-including health ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

Next to the data science capabilities and experiences you should be able to clearly and effectively ... software packages such as R, Python, Matlab. • Good knowledge of cloud environment like ...

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Relocation Package Data Science information

What are the key skills and qualifications needed to thrive as a Data Scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

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

Data Scientist / Data Science Specialist

Adidev Technologies Inc

Dallas, TX

Full-time

Posted 8 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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