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Data Science & AI · Verified Opening #67

Data Scientist / AI Engineer

business forbes location_on Dallas, TX (Hybrid) or Remote, USA apartment Hybrid Full Time

Compensation

$85K – 115K/yr

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Published Date

4 days ago

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Work Arrangement

Hybrid • Dallas, TX or Remote, USA

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Open Positions

3 openings

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Experience Level

Entry-Level to Mid-Level

overview Role Overview

About the opportunity

Join a growing technology team as a Data Scientist / AI Engineer, applying machine learning, Python, data analytics, and generative AI to build intelligent, data-driven solutions.

We are seeking a Data Scientist / AI Engineer to contribute to real-world machine learning and artificial intelligence initiatives across data analysis, predictive modeling, automation, and AI application development. The role is designed for professionals with strong foundations in Python, statistics, machine learning, SQL, and modern AI technologies. You will work with cross-functional teams to transform business data into actionable insights, develop and evaluate machine learning models, and help deploy reliable AI solutions into production. Successful candidates will have opportunities to work on practical projects involving generative AI, NLP, predictive analytics, model evaluation, and cloud-based data workflows while developing their technical and professional career.

task Core Responsibilities

What you will do

check_circle Collect, clean, analyze, and transform structured and unstructured datasets using Python, SQL, Pandas, and NumPy.
check_circle Develop, train, evaluate, and optimize machine learning models for classification, regression, forecasting, and predictive analytics use cases.
check_circle Build AI and generative AI solutions using modern machine learning frameworks, APIs, prompt engineering, and retrieval-based techniques.
check_circle Create data visualizations and analytical dashboards that communicate meaningful business insights to technical and non-technical stakeholders.
check_circle Collaborate with software engineers, product teams, and business stakeholders to integrate AI models into scalable applications and workflows.
check_circle Monitor model performance, data quality, and production outcomes while supporting continuous model improvement and experimentation.

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What we are looking for

arrow_circle_right Bachelor's degree or equivalent academic background in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
arrow_circle_right Strong hands-on proficiency in Python, SQL, Pandas, NumPy, and common data science workflows.
arrow_circle_right Foundational knowledge of supervised and unsupervised machine learning, statistics, model evaluation, and feature engineering.
arrow_circle_right Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch through academic, portfolio, internship, or professional projects.
arrow_circle_right Understanding of generative AI, large language models, prompt engineering, NLP, or AI APIs is highly valued.
arrow_circle_right Strong analytical, problem-solving, communication, and teamwork skills with the ability to explain technical findings clearly.

code_blocks Technologies & Competencies

Skills & Tech Stack

Python Data Science Machine Learning Artificial Intelligence SQL Generative AI Pandas Scikit-learn

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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Fast-Track Hiring Visibility

Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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Submit your résumé (PDF, DOC or DOCX up to 5 MB) for direct consideration by the forbes hiring team.

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Cover Note

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Dallas, TX (Hybrid) or Remote, USA

Verified enterprise hiring partner. Hiring directly through verified technical pipelines and accelerated talent networks.

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