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Data Science Manager Jobs in Prosper, TX (NOW HIRING)

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Data Science - Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly ... Context engineering (retrieval pipelines, RAG, memory management, context structuring). * Knowledge ...

Texas Instruments

Data Scientist

Dallas, TX · On-site

Build scalable, maintainable data science solutions with clean architecture, disciplined testing ... Experience with CMMS (Computerized Maintenance Management Systems), Supervisory Control and Data ...

New

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong ... Skills & Abilities - Ability to independently manage and deliver on complex projects. - Strong ...

Accenture

AI/ML Computational Science Manager

Dallas, TX · On-site

$94K - $293K/yr

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun ... As an Artificial Intelligence and Machine Learning Computational Science professional, you will ...

Chewy

Senior Data Scientist

Richardson, TX

$109K - $190K/yr

Partner with cross-functional teams including product managers, engineers, business analysts, and ... Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics ...

Chewy

Senior Data Scientist

Richardson, TX · On-site

$109K - $190K/yr

Partner with cross-functional teams including product managers, engineers, business analysts, and ... Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics ...

Socket.dev

Data Scientist

Frisco, TX · On-site

$120 - $180/hr

Data Science & ML Core: * Strong proficiency in Python (pandas, NumPy, scikit-learn) * Statistical analysis and experimental design * Experience building and managing datasets for ML training and ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

PepsiCo

Data Scientist

Plano, TX · On-site

$80K - $134K/yr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... You'll collaborate closely with process owners, product managers, and end-users to ensure your ...

PepsiCo

Data Scientist

Plano, TX · On-site

$80.20 - $134.25/hr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... You'll collaborate closely with process owners, product managers, and end-users to ensure your ...

PepsiCo

Data Scientist

Plano, TX · On-site

$80K - $134K/yr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... You'll collaborate closely with process owners, product managers, and end-users to ensure your ...

PepsiCo Deutschland GmbH

Data Scientist

Plano, TX · On-site

$80.20 - $134.25/hr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... You'll collaborate closely with process owners, product managers, and end-users to ensure your ...

PepsiCo

Data Scientist

Plano, TX · On-site

$80K - $134K/yr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... You'll collaborate closely with process owners, product managers, and end-users to ensure your ...

EssilorLuxottica Group

Data Scientist

Dallas, TX · On-site

Manage model lifecycle: validation, monitoring, retraining, and optimization Organizing * Translate ambiguous business problems into structured data science statements * Organize exploratory analysis ...

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Data Science Manager information

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How much do data science manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science manager in Prosper, TX is $88,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $114,900.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Prosper, TX? The most popular types of Data Science jobs in Prosper, TX are:
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What job categories do people searching Data Science Manager jobs in Prosper, TX look for? The top searched job categories for Data Science Manager jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Data Science Manager jobs? Cities near Prosper, TX with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $88,964 per year, or $42.8 per hour.

Data Scientist - INDIA

Vytwo

Prosper, TX • On-site

Full-time

Re-posted 13 days ago

Job description

Role: Data Scientist - INDIA
Location: Hyderabad / Noida, INDIA
*Consultants local to INDIA are eligible.Category: Data Science – Structured Data / Text Data (NLP & GenAI)
About the Role

We are seeking a highly skilled Data Scientist (3–7 years of experience) to join our team and work across two major data science domains:
  1. Structured Data (80–90%) – Predictive analytics, forecasting, cost estimation, likelihood modeling, and batch‑oriented machine learning pipelines.
  2. Text / Unstructured Data (NLP & GenAI) – Building low‑latency real‑time systems using deep learning, LLMs, prompt engineering, and agentic AI frameworks.
This role requires strong expertise in Big Data processing, modern ML tools, and the ability to build scalable, production-ready data science solutions.
Key Responsibilities

Structured Data – Machine Learning & Analytics

  • Build, deploy, and optimize ML models for predictive analytics, forecasting, classification, and regression.
  • Perform large-scale feature engineering using PySpark and Big Data tools.
  • Work on batch pipelines, model versioning, and experiment tracking.
  • Develop cost estimation and risk/likelihood models using statistical and ML techniques.
Text Data / NLP / GenAI

  • Build NLP pipelines using deep learning frameworks such as PyTorch, TensorFlow, or similar.
  • Develop real‑time, low‑latency inference systems for text classification, embeddings, semantic search, summarization, and retrieval.
  • Create prompts, context graphs, and agentic workflows for LLM-based systems.
  • Apply knowledge of prompt engineering, context engineering, and autonomous agent frameworks to production systems.
Core Data Science Engineering & MLOps

  • Work in Databricks for ETL, feature engineering, ML training, and orchestration.
  • Use Azure services for model deployment, data pipelines, and infrastructure.
  • Collaborate using Git-based workflows; leverage tools like GitHub Copilot, Claude Code, etc.
  • Implement model monitoring, observability, drift detection, and performance tracking.
Required Skills & Experience

✅ Core Skills

  • Strong hands-on experience with Databricks (Delta Lake, MLflow, Job Orchestration).
  • Excellent PySpark skills for large-scale distributed data processing.
  • Proficiency in Azure cloud services (ADF, Azure ML, AKS, Databricks on Azure).
  • Strong understanding of ML algorithms, statistical methods, and data analysis.
  • Experience with deep learning frameworks:
    • PyTorch
    • TensorFlow
    • Transformers (HuggingFace)
  • Experience with model monitoring and ML observability.
  • Ability to write clean, optimized code and leverage AI code assistants.
✅ NLP / GenAI Specific Skills

  • Prompt engineering (task prompts, chain of thought, tool calling, retrieval prompts).
  • Context engineering (retrieval pipelines, RAG, memory management, context structuring).
  • Knowledge of LLM-based agentic frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.).
  • Experience with vector databases and embedding models is a plus.
Good to Have Skills

  • Experience with containerization (Docker, Kubernetes, AKS).
  • Experience deploying models to production (REST APIs, real-time endpoints).
  • Knowledge of streaming technologies (Kafka, EventHub, Spark Streaming).
  • Understanding of CI/CD for ML (Azure DevOps / GitHub Actions).
Who You Are

  • A problem solver who is comfortable working with both structured and unstructured data.
  • Someone who enjoys using modern AI tools to accelerate development.
  • A data scientist who writes clean, production-grade code.
  • A collaborator who thrives in cross-functional teams and fast-paced environments.

Flexible work from home options available.