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At Home Data Scientist Risk Jobs in Texas (NOW HIRING)

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ...

Data Scientist Remote Contract JD: Python Fast API Engineer (ML + Risk Modeling) "Strong hands-on experience with Python and Fast API (building production REST services). Experience serving or ...

This position is based onsite at our Dallas, TX office. Candidates must be able to work in-office ... This is an exciting role for someone to make a direct impact on risk, product and revenue strategy ...

The Data Scientist I supports the College's Institutional Research and Data Science function by ... This work helps the College better understand patterns, trends, risk factors, outcomes, and ...

Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal ... We do not offer visa sponsorship at this time. Compensation The base pay range for this position is ...

New

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... At least 5 years Python (or equivalent) programming experience to work with ML/NLP models.

Senior Data Scientist

Frisco, TX · On-site

$128 - $180/hr

... credit risk and operational areas at SoFi. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions for underwriting, portfolio ...

New

Overview SOSi is seeking a Data Scientist to join our team. In this role, you will leverage ... Work is on-site at the El Paso SOSi location * Requires periods of non-traditional hours including ...

Overview SOSi is seeking a Data Scientist to join our team. In this role, you will leverage ... Work is on-site at the El Paso SOSi location * Requires periods of non-traditional hours including ...

At least one year of experience with task leadership and proven ability to meet project deadlines ... risk assessment, data science, or related field. Knowledge of advanced statistics and/or ...

At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains ...

Overview SOSi is seeking a Data Scientist to join our team. In this role, you will leverage ... Work is on-site at the El Paso SOSi location * Requires periods of non-traditional hours including ...

Develop predictive models for compliance risk scoring, regulatory change impact, anomaly detection ... Learn more at octave.com and follow us on LinkedIn. Why work for Octave? All in. Always forward.

At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains ...

Data Scientist

Dallas, TX · On-site

$81 - $135/hr

With inclusivity at its core, the Company's product assortment meets customers' everyday needs and ... JCPenney offers a broad portfolio of fashion, apparel, home, beauty, and jewelry from national and ...

Showing results 21-40

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Texas? The most popular types of Data Scientist Risk jobs in Texas are:
What are popular job titles related to At Home Data Scientist Risk jobs in Texas? For At Home Data Scientist Risk jobs in Texas, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Texas look for? The top searched job categories for At Home Data Scientist Risk jobs in Texas are:
What cities in Texas are hiring for At Home Data Scientist Risk jobs? Cities in Texas with the most At Home Data Scientist Risk job openings:

Operations Data Scientist

Diamondbackenergy

Midland, TX • On-site

Full-time

Re-posted 15 days ago


Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.

The Operations Data Scientist transforms complex operational, production, and reliability data into actionable insights that improve decision-making, optimize performance, and support strategic initiatives. This role partners with cross-functional teams to develop predictive models, analytics, and reporting solutions that enhance operational efficiency, reduce risk, and improve asset reliability. The ideal candidate combines strong technical expertise with the ability to translate business challenges into data-driven solutions and effectively communicate insights to both technical and non-technical audiences.


Job Duties and Responsibilities:

Include but are not limited to:

  • Develop and maintain predictive, statistical, and reliability models using operational, production, and maintenance data to support performance optimization and risk reduction.
  • Analyze structured and unstructured data to identify trends, anomalies, and opportunities for operational improvement.
  • Perform forecasting, scenario modeling, and techno-economic analysis to support planning, prioritization, and capital allocation decisions.
  • Design and support proactive monitoring tools (e.g., Operate-by-Exception workflows) to identify high-risk assets and emerging operational issues.
  • Build and maintain dashboards, reports, and executive-level summaries using business intelligence tools.
  • Write and manage SQL queries, data transformations, and analytical data models within cloud-based data platforms.
  • Collaborate with cross-functional teams (Operations, Engineering, Maintenance, Reliability, IT, and Finance) to define requirements and deliver scalable data solutions.
  • Support data integration, data quality, and governance to ensure accurate, consistent, and reliable reporting.
  • Identify and implement opportunities for automation, advanced analytics, and process improvements.
  • Present insights and recommendations, translating data into clear, actionable business strategies.
Required Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Analytics, or a related STEM field.
  • 7+ years of experience in data science, advanced analytics, or a related quantitative field.
  • Strong proficiency in Python and SQL for data analysis, modeling, and transformation.
  • Experience working with operational, production, maintenance, or time-series data.
  • Strong foundation in statistics, applied mathematics, and machine learning methods.
  • Experience with cloud-based data platforms (e.g., Snowflake, Databricks, or similar).
  • Experience with business intelligence and data visualization tools (e.g., Power BI, Tableau, or Spotfire).
  • Strong analytical, problem-solving, and critical thinking skills.
  • Ability to work independently while collaborating effectively across technical and business teams.
  • Strong communication skills, with the ability to explain complex concepts to non-technical audiences.
Preferred Qualifications:
  • Master's degree in Data Science, Statistics, Engineering, Analytics, or a related field.
  • Experience in oil and gas, industrial operations, manufacturing, or other asset-intensive environments.
  • Familiarity with reliability modeling techniques (e.g., Weibull, Cox proportional hazards, Kaplan-Meier).
  • Experience with anomaly detection, predictive maintenance, and asset performance optimization.
  • Experience supporting digital transformation initiatives, Operate-by-Exception workflows, or AI-enabled solutions.
  • Experience with image analytics, drone inspection analytics, or computer vision

Relocation:

This position is not available for relocation assistance.

Work Authorization:

Diamondback Energy is not currently sponsoring employment visas for this position.

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more aboutE-Verify.