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Data Science Assistant Jobs in Forney, TX (NOW HIRING)

ResolveSoft Inc

Data Analyst

Dallas, TX · On-site

$65K - $84K/yr

... staff. * Assist with rapid-turn analyses and short-notice leadership requests. * Support ... Bachelor's degree in statistics, mathematics, economics, data science, or a related field. * 3+ ...

MSCI

Financial Data Engineer

Addison, TX · On-site +1

$85K - $111K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or ... Hands-on experience using AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or ...

Toyota

Product Owner

Plano, TX

You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future. Who we are - TFS The TFS Data Science team is seeking a highly ...

MSCI

Financial Data Engineer

Addison, TX

$85K - $111K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or ... Hands-on experience using AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or ...

MSCI

Financial Data Engineer

Addison, TX · On-site +1

$85K - $111K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or ... Hands-on experience using AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or ...

Invitation Homes

VP, Enterprise Data

Dallas, TX

Build and maintain strong relationships with analytics, data science, and senior leaders across all business functions Strategy & Prioritization * Define and own the multi-year the Enterprise Data ...

Invitation Homes, Inc.

VP, Enterprise Data

Dallas, TX · On-site

Build and maintain strong relationships with analytics, data science, and senior leaders across all business functions Strategy & Prioritization * Define and own the multi-year the Enterprise Data ...

Invitation Homes Inc.

VP, Enterprise Data

Dallas, TX · On-site

$177.82 - $308.23/hr

Build and maintain strong relationships with analytics, data science, and senior leaders across all business functions**Strategy & Prioritization*** Define and own the multi-year the Enterprise Data ...

Invitationhomes

VP, Enterprise Data

Dallas, TX · On-site

Build andmaintainstrong relationships with analytics, data science, and senior leaders across all business functions Strategy & Prioritization * Define and own the multi-yeartheEnterprise ...

Toyota

Product Owner

Plano, TX

You should not apply for this role if you will require Toyota to assist with immigration support or ... Partner with data science, QA, and business stakeholders to define model validation criteria ...

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All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Forney, TX

Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a data science assistant?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Forney, TX?

The most popular types of Data Science jobs in Forney, TX are:

What cities near Forney, TX are hiring for Data Science Assistant jobs?

Cities near Forney, TX with the most Data Science Assistant job openings:

Data Science Assistant jobs near you

Data Analyst

ResolveSoft Inc

Dallas, TX • On-site

$65K - $84K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Position: Data Analyst

Location: Onsite, Dallas, TX
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.


Primary Responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
  • Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
  • Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
  • Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
  • Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
  • Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
  • Assist with rapid-turn analyses and short-notice leadership requests.
  • Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
  • Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
  • Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.


Required Qualifications


  • Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
  • 3+ years of post-baccalaureate professional experience performing data analysis or related work.
  • 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
  • 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
  • 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
  • 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
  • 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.


Preferred Qualifications

  • Demonstrated ability to work with multiple data sources and manage competing priorities.
  • Strong analytical and critical thinking skills.
  • Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in a team-based environment.
  • Experience supporting federal programs or grants management environments.
  • Familiarity with qualitative data analysis and review of narrative program documentation.
  • Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
  • Knowledge of early childhood or Head Start programs.



Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.