Data Scientist/Sr. Data Scientist Fort Worth, TX

ESR Healthcare; Fort Worth (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

A leading healthcare analytics firm is seeking a Data Scientist/Sr. Data Scientist in Fort Worth, TX. This role involves gathering and analyzing data to optimize operations, developing customer-centric metrics, and collaborating cross-functionally to enhance decision-making. The ideal candidate will have a Master's in Business Analytics and strong skills in SQL, Python, and advanced statistical methodologies, with at least two years of relevant experience. Candidates should be comfortable working with tools like Tableau and Power BI and have knowledge of machine learning methods.

Qualifications

• 2 years of experience in a data-related role.
• Strong knowledge of statistical methodologies and forecasting.
• Experience with machine learning algorithms like XGboost and Random Forest.
• Ability to transform business problems into data science solutions.
• Knowledge of cloud or distributed computing (Azure Databricks/Spark).

Responsibilities

• Gather and analyze data from various sources.
• Conduct exploratory analyses and hypothesis testing.
• Collaborate with stakeholders to solve business problems.
• Collaborate with stakeholders to translate business problems into data science solutions.
• Deploy models as proofs-of-concept or production implementations.
• Develop customer-centric metrics to understand customer value.
• Work with teams to centralize customer data for analytics and insights.
• Select analytical tools and write code/queries to support strategy.

Skills

Business analysis

Advanced MS Excel

Data visualization (Tableau, Power BI)

SQL

Quantitative analysis (Python)

Machine learning methods

Cloud Computing

Education

Master’s degree in Business Analytics

Tools

Tableau

Microsoft Power BI

Azure Databricks

Spark

Random Forest

Job description

Position

Data Scientist / Sr. Data Scientist

Location

Fort Worth, TX

Job Summary

Openings for a Data Scientist/Sr. Data Scientist to perform the following duties:

• Gather data from various analytical databases and sources, and implement advanced statistical methodologies to optimize American Airlines’ operations
• Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources
• Conduct exploratory analyses including hypothesis testing, statistical inference and statistical analysis (predictive and/or prescriptive)
• Partner with business and technical stakeholders to translate challenging retail business problems into state‑of‑the‑art data science solutions
• Work with other teams across the organization to integrate and centralize customer data for analytics purposes to increase customer knowledge across the organization, including but not limited to third‑party data, digital behavior, operational metrics, etc.
• Deploy models as proofs‑of‑concept or fully productionized implementations
• Develop, analyze, and evaluate customer‑centric metrics that incorporate customer attributes and behaviors holistically and allow the company to better understand customer value
• Collaborate cross‑functionally across workgroups to add customer insights leading to better decisions
• Select appropriate analytical tools and write analytics‑based code and queries to generate outputs supporting strategy and decision‑making
• Identify and assess opportunities to leverage new technologies and collaborate with external vendors to enhance customer understanding

Work Schedule

40 hours per week / 8 a.m.-5 p.m. / M-F.

Experience Qualifications

• 2 years of experience as Analyst or any occupation in which the required experience was gained, and demonstrated experience in: Business analysis; Reporting and data analysis for sales or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data sources; Strong economic and market analysis skills; Strong analytical skills with work experience in dynamic environment; Demonstrated ability to solve and to lead others in solving complex analytical problems; Competitive analysis; Database management systems, data structuring, and data architecture; Machine learning methods including correlation, clustering, segmentation, and regression; Machine learning algorithms including XGboost, KNN Neighbors, and Random Forest; Data extraction, cleaning, and analysis; Cloud Computing or Distributed Computing; Azure Databricks or Spark

Educational Requirements

Master’s degree in Business Analytics, Operations Research, or related field.