2 дня назад
Data Scientist (Machine Learning)
80 400 - 135 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Machine Learning): Designing and evaluating predictive models, algorithms, and automated data processes to extract analytical insights with an accent on exploratory data analysis, statistical modeling, and machine learning. Focus on interpreting complex results, developing software and model lifecycles, and presenting data-driven findings across the organization.
Location: Hybrid at offices in Vienna, Virginia; Pensacola, Florida; or Winchester, Virginia. Candidates must be authorized to work in the United States without current or future sponsorship.
Salary: $80,400–$135,600 annually
Company
is a large financial services organization providing banking and credit union services.
What you will do
- Design, develop, and evaluate basic predictive models and algorithms.
- Extract and analyze data using machine learning, programming, data modeling, and advanced mathematics.
- Interpret model results, identify trends, and develop descriptive, predictive, and prescriptive analyses.
- Code software programs, algorithms, and automated processes.
- Collaborate on team projects and document and present analytical findings.
Requirements
- Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, or a related quantitative field.
- 2–3 years of experience in exploratory data analysis.
- Knowledge of statistics, programming, data modeling, simulation, mathematics, and model lifecycle execution.
- Experience with SQL, R, Python, Hadoop, SAS, SPSS, Scala, and AWS.
- Skills in technical writing, data storytelling, technical presentations, research, critical thinking, and problem solving.
- United States work authorization is required; visa sponsorship is not available.
Nice to have
- Master’s degree in data science, statistics, mathematics, computer science, engineering, or a related field.
Culture & Benefits
- Full-time regular schedule, Monday through Friday, 8:00 AM–4:30 PM.
- Hybrid work arrangement at one of the listed United States locations.
- Competitive pay based on experience, location, and market position.
- Generous benefits and perks.
- Culture focused on engagement, commitment, appreciation, belonging, and community.
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