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1 час назад

Senior Data Scientist (Python)

110 302 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Python/SQL): Developing production-grade analytical and machine learning solutions for high-volume logistics datasets with an accent on forecasting, experimentation, MLOps, and business intelligence. Focus on designing scalable models and feature pipelines, validating experiments and causal inferences, building executive dashboards, and translating complex data into measurable business outcomes.

Location: 811 Excellence Dr, Bentonville, AR 72716, United States; onsite, full time.

Salary: $110,302–$180,000 per year, plus annual or quarterly performance incentives.

Company

hirify.global is the hiring organization for this data science role.

What you will do

  • Identify fit-for-purpose data sources, clarify requirements and service-level agreements, and perform initial data quality checks on high-volume logistics datasets.
  • Translate business problems into analytical and mathematical solutions, develop business cases, and provide recommendations to stakeholders.
  • Build, test, tune, assess, and validate analytical models, including forecasting, trend and cluster analysis, experiments, and model ensembles.
  • Develop production-grade code and support model deployment, scalability, sustainability, feature pipelines, monitoring, and orchestration.
  • Create data visualizations, Tableau dashboards, executive presentations, operational reporting, and self-service analytics.
  • Mentor junior associates and collaborate with product, engineering, operations, UX, UI, and business stakeholders.

Requirements

  • Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field plus 1 year of analytics-related experience; or bachelor’s degree or equivalent in one of these fields plus 3 years of analytics-related experience.
  • Experience with SQL and big-data tooling for mining and transforming high-volume logistics datasets.
  • Experience with Python for production-grade data science, time-series forecasting, MLOps and productionization, including feature pipelines, model monitoring, Airflow-style orchestration, and reliability.
  • Experience with experimentation and causal inference, including A/B tests and uplift modeling, to translate business needs into measurable data science solutions.
  • Experience applying supervised or unsupervised machine learning to improve efficiency, cost, and customer experience.
  • Experience with large-scale algorithm development and testing, including design, A/B evaluation, and KPI alignment.
  • Experience with cross-functional communication, stakeholder management, Tableau dashboarding, BI visualization, data warehousing, ETL, KPI frameworks, and executive storytelling.
  • Employer will accept any amount of experience with the required skills.

Culture & Benefits

  • Medical, vision, and dental coverage; 401(k), stock purchase, and company-paid life insurance.
  • Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
  • Short- and long-term disability, education assistance with 100% company-paid college degrees, company discounts, military service pay, and adoption expense reimbursement.
  • Benefits eligibility may depend on job classification and length of employment and is subject to plan terms and change.
  • Equal opportunity employer with a drug-free workplace and no-tolerance policy for illegal drugs and alcohol on the job.

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