1 час назад
Senior Data Scientist
99 400 - 155 850$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Machine Learning and Risk Analytics): Developing data science, machine learning, and analytical insights from member, financial, and organizational data with an accent on fair lending, consumer compliance, and ethical AI. Focus on evaluating predictive models, testing for bias and fairness, building analytical software and automated processes, and presenting findings to compliance, legal, and business stakeholders.
Location: Hybrid, with work locations in Vienna, Virginia; Pensacola, Florida; or Winchester, Virginia, United States
Salary: $99,400–$155,850 annually
Company
provides financial services to its members and supports data-driven decision-making across the organization.
What you will do
- Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data.
- Evaluate predictive models, advanced algorithms, assumptions, inputs, and outcomes for risk and fairness considerations.
- Conduct descriptive, predictive, and prescriptive analyses to test hypotheses, identify bias, and support responsible business decisions.
- Develop and code software programs, algorithms, automated processes, and analytical frameworks.
- Transform data into charts, tables, and other formats that support effective decision-making.
- Lead small projects and present documented findings to business partners, compliance, legal, and subject matter experts.
Requirements
- Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, or a related quantitative field.
- 3–5 years of experience in exploratory data analysis.
- Knowledge of statistics, programming, data modeling, simulation, advanced mathematics, and model lifecycle execution.
- Experience with SQL, R, Python, Hadoop, SAS, SPSS, Scala, and AWS.
- Technical writing, data storytelling, presentation, research, critical thinking, problem-solving, and collaboration skills.
- Must be authorized to work in the United States without current or future sponsorship.
Nice to have
- Master’s degree in data science, statistics, mathematics, computer science, economics, or a related field.
- Experience with compliance, risk, or fair lending analytics in financial services.
- Familiarity with fair lending and consumer protection laws, including ECOA and FHA.
- Experience evaluating or validating machine learning models for fairness and governance.
Culture & Benefits
- Regular schedule from Monday through Friday, 8:00 AM to 4:30 PM.
- Hybrid work environment.
- Competitive pay and benefits.
- Culture focused on engagement, commitment, and appreciation for employees.
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