Data ScientistSr. Data Scientist Fort Worth, TX
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Job Location:
Fort Worth, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 operations; Obtain manipulate clean and analyze structured and unstructured data from diverse sources; Conductexploratoryanalysesincluding hypothesis testingstatistical 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 Masters degree in Business Analytics Operations Research or related field.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
