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Entry Level Data Scientist Machine Learning Jobs in Frisco, TX

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Scientists, Data Engineers, and Data Architects on production systems and applications Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning On call ...

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning ...

Codvo.ai

Data Scientist (Dallas)

Dallas, TX · On-site

This role requires someone who can explain machine learning predictions in maintenance engineering language, not data science jargon. Responsibilities Discovery & Baseline (Weeks 1-2) * Conduct the ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation data science products. * Experience in bank card/credit card business, consulting, retail, marketing ...

Sonsoft Inc

Data Scientist

Plano, TX · On-site

Selecting features, building and optimizing classifiers using machine learning techniques * Data ... Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Solid understanding of statistical modeling and machine learning concepts, including model training ...

KPMG

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization ... Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with ...

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

... a talented Data Scientist to join our growing analytics team in Dallas, TX. The ideal candidate will have experience building predictive models, developing machine learning solutions, and ...

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All JobsData Scientist Machine Learning JobsEntry Level Data Scientist Machine Learning JobsEntry Level Data Scientist Machine Learning Jobs in Frisco, TX

Entry Level Data Scientist Machine Learning information

See Frisco, TX salary details

$35.1K

$114.9K

$183.9K

How much do entry level data scientist machine learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for entry level data scientist machine learning in Frisco, TX is $114,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $127,300.00 per year, depending on experience, location, and employer.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Frisco, TX?

For Entry Level Data Scientist Machine Learning jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Frisco, TX look for?

The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Frisco, TX are:

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Cities near Frisco, TX with the most Entry Level Data Scientist Machine Learning job openings:

Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,875 per year, or $55.2 per hour.

Senior Data Scientist - eCommerce

National Black MBA Association

Plano, TX • On-site

$140 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Sr. Data Scientist/Machine Learning Engineer – Recommender Systems

If you have ambitions to be a part of a Best in Class organization, Samsung’s Ecomm ML&AI team is the place to be! The role of the team is to support our marketing and business channels through innovative ML & AI solutions. The dynamic culture at Samsung offers both great challenges and great rewards. If you want to work among the very best talent in the industry, working on the most innovative products in the world, Samsung is the place to be.

Requirements
  • You have MS or PhD in Mathematics, Computer Science, Engineering, or Economics (required).
  • You are an expert in building and deploying recommender systems at scale to enhance customer journey experiences on websites and apps.
  • You are adept in designing and implementing machine learning solutions to enhance site search.
  • You have 3-6 years of experience in Big Data environment specifically Hive/Spark where you have deployed reliable models that scale smoothly on high-volume (1TB+) & high-dimensionality (500+ variables per schema) data.
  • You have worked with massive structured/unstructured data sets before and have a strong grip on machine learning techniques especially able to debug an algorithm with ease.
  • Given a data problem you know the right data science technique to be applied (such as GLM Regression (linear, logit, multinomial), kMeans/Hierarchical Clustering, Principle Component Analysis, Decision Tree (RF, GBM, XGboost, Neural Networks, Bayesian Statistics, Times Series, & A Priori, etc.) & Deep Learning based recommendations, Market-Based analysis, Collaborative filtering, Content filtering, etc.
  • You are a solid coder who uses SQL & (Python/Spark/R) to deploy machine learning products into production.
  • You are highly enthusiastic about uncovering actionable insights from data and conveying these insights to businesses as stories that stick.
  • You are a strong analytical person who loves solving business problems using massive data sets.
  • You interface with leadership and team members to get clarity on your requirements, end goals, and deliverables.
  • You are detail-oriented but never lose sight of deadlines.
  • You always have an eye on the products you deploy and never assume that everything is ok.
  • You are comfortable following the procedures and coding standards set by the organization.

Role And Responsibilities: Must Have Soft Skills –

  • Proactive and sometimes Reactive
    • "Think and Jump right in" attitude
    • Need to be an independent contributor simultaneously valuing feedback from team members
  • Work Style –
    • Be analytical and solve problems without losing sight of end goals
    • Detail-oriented but never lose sight of deadlines
  • Procedure Oriented
    • Clearly understand and agree on the standards set by the leadership and how they will be evaluated
    • Maintain standards most of the time however should voice new procedures and systems
  • Interpersonal skills-
    • Need to be able to empathize with the team and be able to control his/her internal state to handle the work load during ambitious targets.
    • Given ambitious deadlines be proactive and extract clarity on requirements, deliverables, and tasks from PM and leadership
  • Quality Control
    • Constantly check on models and not assume that things are ok.
Core Responsibilities
  • Follow agile development principles to develop and deploy cutting edge Data Products and POCs using massive sets of structured and unstructured data.
  • Ensure the data product is deployed with thorough testing and is of the highest quality
  • Communicate the results to other members of the team in a clear and intuitive manner
  • Interface with leadership and team members regularly to brainstorm ideas, and communicate progress and risks.
  • Use JIRA and Confluence as tools for Agile Project planning
  • Communicate the progress and results in a clear, concise, and timely manner with other stakeholders
Data - Responsibilities
  • Always looking out for data resources that enhance the model performance
  • Clearly communicate with PMs about the acquisition of the data sources
  • Work with team members to develop and design solutions for data products
  • Write code to clean, munge, analyze, EDA, and visualize terabytes of data
  • Proficient in EDA and visualizations
  • Proficient in building, testing, and deploying scalable and reliable machine-learning models
  • Debug the machine learning models with ease
  • Understand the upstream and downstream interface requirements and design the solutions accordingly
  • Get proficient in the in-house Data Science tools
  • Always looking for avenues for automation in data pipelines wherever applicable
  • Get comfortable in following the "Data Science team" sprint planning procedures
  • Clearly communicate with DE about deployment requirements
  • Work with DE to get the data in Data Lake in required format.
Compliance - Responsibilities
  • Ensure completeness of the product
  • Make sure that the product is of highest quality
  • Adept in documenting the Modeling work. Ensure that the documentation is complete and reviewed by Sr. Data Scientists.
  • Ensure code meets team standards
  • JIRA for agile development
Should have Knowledge and Experience
  • Experience in Telecom/retail/e-commerce/consumer packaged goods (CPG), Mobile, or Consumer electronics industries
  • Agile Principles/Scrum/Kanban
  • Solid understanding of Hadoop (Hive and Impala) & Spark (PySpark/Scala)
  • Proficient in (Python/Scala/R/Java ) & SQL
  • Expert in developing and debugging Machine Learning products
  • Proficient in Data Visualizations

#LI-JL1

Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/

Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/

Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

Necessary Skills and Attributes:

Ability to work cooperatively and build strong relationships with peers and senior leadership locally and globally; sharing ideas and developing effective business processes in support of the company mission. Ability to collaborate and be comfortable dealing with ambiguity, influencing across multiple complex organizations, creating effective business partnerships. Polished interpersonal skills, including strong verbal and written communication skills in local market language. Ability to effectively manage multiple projects, have attention to detail and work effectively under deadlines in a collaborative and matrixed environment.

Samsung Electronics America, Inc. is committed to employing a diverse workforce, and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

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