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Sr Data Scientist Jobs in Spring, TX (NOW HIRING)

Hanwha Energy USA

Data Scientist

Houston, TX · On-site

Minimum 3 years (Data Scientist) or 7 years (Senior Data Scientist) of industry experience applying modeling techniques in successful commercial energy applications * Solid understanding of ERCOT and ...

Hanwha Energy USA

Data Scientist

Houston, TX

Minimum 3 years (Data Scientist) or 7 years (Senior Data Scientist) of industry experience applying modeling techniques in successful commercial energy applications * Solid understanding of ERCOT and ...

Hanwha Energy USA

Data Scientist

Houston, TX

Minimum 3 years (Data Scientist) or 7 years (Senior Data Scientist) of industry experience applying modeling techniques in successful commercial energy applications * Solid understanding of ERCOT and ...

NAVA Software Solutions

Sr Data Developer

Houston, TX · On-site

Senior Data Developer Location: Houston TX - 2 days/week hybrid Type: Full time/Direct Hire As the ... Bachelor's degree in Computer Science, Data Science, or related field * 8+ years of work experience ...

Munich RE

Data Scientist

Houston, TX · On-site

In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand ...

NAVA Software Solutions

Sr. Data Analyst Snowflake

Houston, TX · On-site

$82K - $103K/yr

Senior Data Analyst -Snowflake Location: Houston TX - Onsite Duration: Full time /Direct Hire Job ... Collaborate with business analysts, data scientists, and other stakeholders to understand business ...

PureWay Compliance, Inc

Senior Data Analyst

Katy, TX · On-site

$90K - $100K/yr

We are seeking a highly analytical Senior Data Analyst to transform complex business data into ... Bachelor's degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics ...

Capgemini

Data Scientist

Houston, TX · On-site

(AI/ML Engineer / GenAI Engineer / Data Scientist) Houston TX Overview Capgemini is seeking an ... Collaborate with senior consultants and client teams to identify business challenges and ...

ShiftCode Analytics, Inc.

Data Scientist

Houston, TX · On-site

The Data Scientist will work independently on data science projects, identifying opportunities, analyzing data, and delivering insights to solve business problems. Responsibilities : • Work ...

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

Paladin Consulting

Data Scientist

The Woodlands, TX · On-site

Data Scientist Work Location: The Woodlands Education/Experience Required: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Data Science & Machine Learning: * Strong foundation ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Socket.dev

Data Scientist

Houston, TX · On-site

$100 - $125/hr

... senior management Leverage existing data sets to improve/invent analysis methods and solutions by ... Science) or related discipline with demonstrated research capability * 3 years of direct work ...

SwiftCruit

Data Scientist

Spring, TX · On-site

$100 - $125/hr

Data Scientist This role has been designed as "Onsite" with an expectation that you will primarily work from an HPE office. Job Family Definition Designs, develops and applies programs, methodologies ...

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Showing results 21-40

All JobsSr Data Scientist JobsSr Data Scientist Jobs in Spring, TX

Sr Data Scientist information

See Spring, TX salary details

$35.1K

$120.6K

$170.1K

How much do sr data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for sr data scientist in Spring, TX is $120,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $140,900.00 per year, depending on experience, location, and employer.

What does a Sr Data Scientist do?

A Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist?

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.

What is the difference between Sr Data Scientist vs Data Analyst?

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

What are popular job titles related to Sr Data Scientist jobs in Spring, TX?

For Sr Data Scientist jobs in Spring, TX, the most frequently searched job titles are:

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The top searched job categories for Sr Data Scientist jobs in Spring, TX are:

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Cities near Spring, TX with the most Sr Data Scientist job openings:

Sr Data Scientist jobs near you
Infographic showing various Sr Data Scientist job openings in Spring, 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $131,175 per year, or $63.1 per hour.

Data Scientist

Hanwha Energy USA

Houston, TX • On-site

Full-time

Posted 7 days ago

Job description

COMPANY OVERVIEW
Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group-a FORTUNE Global 300 company and one of South Korea's most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry.
Our expertise covers the entire energy value chain from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets.
Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of:
Hanwha Renewables - specializing in utility-scale solar and battery energy storage systems (BESS).
Chariot Energy - providing retail electricity services for residential, commercial, and industrial customers in deregulated markets.
POSITION OVERVIEW
As an integral part of Hanwha Energy USA's Commodities team, the Data Scientist will oversee the entire data science pipeline for wholesale power and gas market applications including price forecasting, congestion analysis, load forecasting, and trading algorithms. This will encompass R&D, model development, pre- and post-model analytics, model deployment, and management of the ML model library. This role will leverage the latest AI/ML modeling techniques to directly impact the company's ability to make informed decisions, optimize operations, mitigate risks, and drive business growth.
The role requires a self-motivated, dedicated, and responsible individual with the ability to perform well under pressure collaboratively with a team of highly analytical and quantitative talent. Along with deep expertise in AI/ML modeling, the candidate should possess a solid understanding of power and gas market fundamentals - with particular emphasis on ERCOT and PJM markets - and emerging trends in wholesale energy.
The position will be based out of the Hanwha Energy USA Houston office, and the ideal candidate will be within commutable distance to the Houston office location.
RESPONSIBILITIES
  • As part of Hanwha Energy USA's Commodities team, this position will play a pivotal role in developing innovative solutions to wholesale power and gas analytical needs - including price forecasting, congestion analysis, and trading algorithms - by applying state-of-the-art machine learning and predictive modeling techniques
  • Responsible for coordinating the entire ML life cycle including pre-model analytics, model selection, feature engineering, post model evaluation, and model refinements across power and gas market applications
  • Develop, maintain, and continuously improve production-grade forecasting and analytics models for wholesale power and gas markets, with a focus on ERCOT and PJM
  • Build and interpret models that capture the key drivers of power and gas price formation - including generation dispatch, transmission congestion, fuel prices, weather, load patterns, and market participant behavior
  • Coordinate model deployment efforts including integration into downstream business processes, tracking performance metrics, and maintaining model health in cloud environments
  • Develop a comprehensive data visualization layer to enable intuitive understanding of analytical drivers by business stakeholders
  • Working closely with the technology team and leveraging vast amounts of proprietary and market data, develop ways to extract business intelligence and actionable insights that can have a meaningful impact on the company's bottom line
  • Communicate technical details of the modeling to key stakeholders and partners to drive impact and facilitate decision making

REQUIRED COMPETENCIES
  • Analytical - Proven problem-solving capability with strong analytical skills including statistical analysis.
  • Stakeholder Engagement - Understands the importance of seeking out relationships and working with others toward a shared goal.
  • Effective Communication - Strong verbal and written communication skills.
  • Agility - Demonstrate willingness to modify position as needed to meet the needs of the business.

REQUIRED QUALIFICATIONS
  • Strong technical knowledge in deep learning and time series modeling - including GBM, LSTM, Transformer architectures, CNN, VAE, GAN and GNN - with demonstrated application in power or gas market contexts
  • Minimum 3 years (Data Scientist) or 7 years (Senior Data Scientist) of industry experience applying modeling techniques in successful commercial energy applications
  • Solid understanding of ERCOT and PJM market fundamentals - including wholesale price formation, transmission congestion, nodal pricing, generation dispatch, and fuel market dynamics
  • Understanding of transmission congestion in ERCOT and PJM - including how constraints bind, how congestion propagates across the network, and how shadow prices reflect the cost of binding constraints
  • Experience with Large Language Models (LLMs) - including practical application of LLMs for market intelligence, analytical summarization, retrieval-augmented generation (RAG), or workflow automation in a commercial setting
  • An advanced degree, preferably Ph.D, in Engineering, Math, Physics, or a related field of study
  • Strong problem-solving skills along with the ability to intuitively explain complex technical concepts to business stakeholders
  • Strong knowledge in programming (Python, SQL), visualization tools (Plotly, PowerBI), ML packages (PyTorch, TensorFlow) and hyperparameter tuning (Optuna)
  • Experience with cloud platforms (Azure or AWS) and MLOps practices - including model deployment, pipeline orchestration, experiment tracking, and model monitoring in production environments
  • Proven track record in managing complex projects and leading cross-functional teams
  • Excellent interpersonal skills with capability to work collaboratively with technical and non-technical teams
  • Eligible to work in the USA for any employer without sponsorship

PREFERRED QUALIFICATIONS
  • Experience with Graph Neural Networks (GNN) or graph-based modeling approaches - a significant differentiator for this role given the team's current AI initiative roadmap
  • Direct experience in wholesale power or gas trading environments - understanding of how analytical outputs translate into commercial trading and hedging decisions
  • Familiarity with ERCOT-specific datasets - nodal prices, shift factor matrices, constraint shadow prices, bid/offer disclosures, and generation outage feeds
  • Experience with production cost modeling software such as DAYZER, PLEXOS, Aurora XMP, or PROMOD
  • Familiarity with gas market fundamentals - pipeline flows, basis differentials, storage dynamics, and their interaction with power price formation
  • Experience with MLOps tooling - MLflow, Airflow, Kubeflow, Azure ML, or AWS SageMaker - for production model lifecycle management

COMPENSATION: $140,000 - $180,000 salary
Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.
Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. Hanwha Energy USA

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