Data Scientist

UL Solutions; Austin (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

UL Solutions in Austin, TX is seeking a Data Scientist to deliver data-driven insights, build predictive models, and create dashboards with Power BI or Tableau.

You will collaborate with stakeholders, data engineers, and developers in an Agile environment, applying SQL, Python, and R to analyze complex datasets and communicate findings clearly.

The role emphasizes data quality, scalable analytics, and alignment with business goals, supported by Azure DevOps for work tracking.

Qualifications

• Master's degree in Data Science, Data Analytics, CS, or related field.
• 3–5 years of experience in data analytics or data science roles.
• Strong proficiency in SQL, Python, and R.
• Experience with Power BI, Tableau, or similar visualization tools, including data modeling and DAX.
• Strong analytical and problem-solving skills with attention to detail.
• Experience gathering and documenting business requirements.
• Familiarity with Agile methodologies and Azure DevOps.
• Excellent communication, interpersonal, and stakeholder management skills.
• Understanding of statistical methods and probability theory.

Responsibilities

• Process, cleanse, and verify data integrity for analysis and modeling.
• Perform ad-hoc and recurring analyses, presenting results to support decisions.
• Analyze large datasets to extract meaningful insights and select ML techniques.
• Build, evaluate, and optimize classification and predictive models.
• Apply data mining to identify trends and relationships.
• Extend datasets with third-party sources to improve analytics.
• Enhance data collection for high-quality inputs for ML systems.
• Use modeling to predict unseen or future instances.
• Collaborate with stakeholders to align analytics with business objectives.
• Adhere to conduct and data governance policies.
• Gather, analyze, and document requirements, translating to BRDs, user stories, and specs.
• Build and maintain dashboards and data visualizations in Power BI, Tableau, or similar tools.
• Apply statistical methods and basic ML models to support forecasting and decision-making.
• Perform analyses to support operational reporting and strategic initiatives.
• Ensure data accuracy and integrity across datasets.
• Integrate third-party data sources to improve coverage and model performance.
• Communicate findings clearly to technical and non-technical audiences.
• Partner with development teams using Azure DevOps to manage work items.

Skills

SQL

Python

R

Power BI

Tableau

Data visualization

Agile

Azure DevOps

Communication

Education

Master's degree in Data Science or related field

Tools

DAX

Job description

Job Description

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that support business decision‑making. This role partners closely with business stakeholders, data engineering, and development teams to analyze complex datasets, build visualizations, and develop predictive models. The ideal candidate combines strong analytical skills with business acumen and effective communication in an Agile environment.

Responsibilities

• Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling.
• Perform ad‑hoc and recurring analyses, presenting results and insights in a clear, concise manner to support business decision‑making.
• Analyze large, complex datasets to extract meaningful insights, selecting appropriate statistical, analytical, and machine‑learning techniques based on the problem context.
• Select relevant features and build, evaluate, and optimize classification and predictive models using machine‑learning techniques.
• Apply data mining and advanced analytical methods to identify trends, patterns, and relationships within structured and unstructured data.
• Extend and enrich customer and business datasets using third‑party data sources when required to improve analytical outcomes.
• Enhance data collection and preparation procedures to ensure relevant, high‑quality inputs for analytic and machine‑learning systems.
• Use data modeling and evaluation strategies to identify patterns and accurately predict unseen or future instances.
• Collaborate with business and technical stakeholders to align analytical solutions with business objectives.
• Adhere to the Underwriters Laboratories Code of Conduct and follow all physical and digital security, data governance, and compliance practices.
• Collaborate with business stakeholders to gather, analyze, and document requirements, translating needs into BRDs, user stories, and functional specifications.
• Build and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or similar tools.
• Apply statistical methods and basic machine‑learning models to support forecasting, prediction, and business decision‑making.
• Perform ad‑hoc and recurring analyses to support both operational reporting and strategic initiatives.
• Process, cleanse, validate, and maintain data accuracy and integrity across analytical datasets.
• Enhance data collection processes and integrate third‑party data sources to improve analytical coverage and model performance.
• Communicate analytical findings and recommendations clearly to both technical and non‑technical audiences.
• Partner with development teams using Azure DevOps to manage work items, track progress, and ensure timely delivery.
• Support data science and analytics initiatives using SQL, Python, R, and Excel.
• Collaborate with data engineering teams to support analytics pipelines and data lake initiatives.

Qualifications

Required

• Master’s degree in Data Science, Data Analytics, Computer Science, or related field.
• 3–5 years of experience in data analytics or data science roles.
• Strong proficiency in SQL, Python, and R.
• Experience with Power BI, Tableau, or similar visualization tools, including data modeling and DAX.
• Strong analytical and problem‑solving skills with attention to detail.
• Experience gathering and documenting business requirements.
• Familiarity with Agile methodologies and Azure DevOps.
• Excellent communication, interpersonal, and stakeholder management skills.
• Understanding of statistical methods and probability theory.

Preferred

• Experience with machine‑learning frameworks such as scikit‑learn, TensorFlow, or Keras.
• Experience with Salesforce data and reporting.
• Experience in business services or manufacturing industries.
• Familiarity with NLP or deep learning techniques.

Total Rewards

The estimated salary range for this position is $80,000 to $120,000 and is based on multiple factors, including job‑related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 10% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full‑time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).