Data Scientist/Sr. Data Scientist Fort Worth, TX

ESR Healthcare; Fort Worth (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A prominent healthcare firm in Fort Worth, TX is seeking a Data Scientist/Sr. Data Scientist to optimize operations through data-driven insights. The ideal candidate will gather and analyze data, conduct statistical analyses, and collaborate with various teams to improve customer understanding. A Master's degree in Business Analytics is required, along with expertise in data visualization and machine learning methods. This role offers a standard work schedule with competitive responsibilities in a dynamic environment.

Qualifications

• 2 years of experience as an Analyst or in a related role.
• Demonstrated knowledge of data analysis and reporting.
• Proficient in SQL and related querying tools.

Responsibilities

• Gather and analyze data to optimize operations.
• Conduct exploratory analyses including statistical testing.
• Collaborate with teams to integrate customer data.

Skills

Business analysis

Advanced MS Excel

Data visualization on Tableau

Statistical analysis

Data manipulation with SQL

Quantitative analysis with Python

Machine learning methods

Data cleaning and analysis

Hypothesis Testing

KNN

Education

Master's degree in Business Analytics

Tools

Tableau

Microsoft Power BI

Azure Databricks

Spark

XGBoost

Random Forest

Job description

Data Scientist/Sr. Data Scientist Fort Worth, TX
Employer
Nature of Business Commercial airline carrier
Job Number
Salary Not provided
Description 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; Conductexploratoryanalysesincluding hypothesis testing,statistical inference and statistical analysis (predictiveand/or prescriptive); Partner with business and technical stakeholders to translatechallenging retailbusiness problemsintostate-of-the-art data sciencesolutions; 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.
Job Location: Fort Worth, TX
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.