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Senior Data Science Insurance Jobs in Texas (NOW HIRING)

SWBC

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

SWIVEL is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...

SWBC

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

SWIVEL is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...

Smadex

Senior Data Scientist

Austin, TX · On-site

$100 - $130/hr

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our ... Data Science, or Economics). * Technical Mastery: Advanced proficiency in Python and SQL.

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our ... Statistics, Computer Science, Data Science, or Economics). * Technical Mastery: Advanced ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our ... Statistics, Computer Science, Data Science, or Economics). * Technical Mastery: Advanced ...

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 ...

Samsung Electronics Perú

Senior Data Scientist

Taylor, TX · On-site

$90 - $175/hr

Required Bachelor's degree or higher in Data Science, Statistics, Computer Science, Physics, or a ... Life insurance and 401(k) matching with immediate vesting * Onsite café(s) and workout facilities

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Senior Data Science Insurance information

What is the difference between Senior Data Science Insurance vs Data Analyst Insurance?

AspectSenior Data Science InsuranceData Analyst Insurance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics teams, cross-functional projects, predictive modelingReporting, data cleaning, basic analysis, dashboards
Employer & Industry UsageInsurance companies, financial services, risk assessmentInsurance firms, brokers, claims departments

Senior Data Science Insurance roles focus on developing predictive models and advanced analytics, requiring higher technical skills and experience. Data Analysts typically handle data reporting and basic analysis. Both roles are vital in insurance but differ in complexity and responsibilities.

What are the most commonly searched types of Data Science Insurance jobs in Texas?

The most popular types of Data Science Insurance jobs in Texas are:

What cities in Texas are hiring for Senior Data Science Insurance jobs?

Cities in Texas with the most Senior Data Science Insurance job openings:

Senior Data Science Insurance jobs near you

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 29 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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