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13 дней назад

Senior Data Scientist (Machine Learning)

168 917 - 234 000$
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

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TL;DR
Senior Data Scientist (Machine Learning): Building statistical models, machine learning algorithms, and large-scale data systems for Walmart eCommerce with an accent on NLP, vector similarity search, optimization, and distributed data processing. Focus on designing and validating predictive models, scaling algorithms across large datasets, detecting data drift, and deploying reliable analytical solutions.

Location: 1375 Crossman Avenue, Sunnyvale, CA 94089, United States

Salary: $168,917–$234,000 per year, plus annual or quarterly performance incentives

Company

hirify.global develops data-driven solutions supporting Walmart eCommerce and business operations.

What you will do

  • Develop custom statistical and machine learning models, algorithms, and datasets for business and eCommerce solutions.
  • Build complex datasets from internal and external sources and analyze large-scale continuous and offline data flows.
  • Train, validate, test, and scale algorithms for prediction, search, and future data analysis.
  • Apply advanced statistical analysis to identify trends, relationships, and required improvements.
  • Research industry techniques and use technologies such as Hadoop, HBase, MapReduce, LAPack, and Gurobi.
  • Provide analytical support on project teams and collaborate with cross-functional business partners.

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 a bachelor’s degree or equivalent in one of these fields plus 3 years of analytics-related experience.
  • Experience with graphical models, Bayesian inference, neural networks, SVM, random forest, and other statistical modeling techniques.
  • Experience coding in object-oriented programming languages and statistical tools, including Python and R.
  • Experience with Newton-Raphson, gradient descent, linear programming, integer programming, and quadratic programming.
  • Experience with SQL and NoSQL databases, distributed datastores, Hadoop, Spark, and Hive.
  • Experience with data visualization tools including ggplot, Matplotlib, Plotly, Tableau, and Power BI.
  • Experience with data management, data quality standards, data governance, accessibility, storage, and scalability.
  • Experience with NLP tasks such as text classification and sentiment analysis using NLTK, spaCy, and Gensim.
  • Experience designing, implementing, and managing vector databases, including vector similarity search and indexing.
  • Experience with TensorFlow, PyTorch, model evaluation, data drift detection, Git/GitHub, and CI/CD pipelines.
  • Any amount of graduate coursework, graduate research experience, or professional experience with the required skills is acceptable.

Culture & Benefits

  • Full-time employee position with medical, vision, and dental coverage.
  • Benefits include 401(k), stock purchase, company-paid life insurance, PTO including sick leave, parental and family care leave, and other paid leave.
  • Additional benefits include short- and long-term disability, education assistance with 100% company-paid college degrees, discounts, military service pay, and adoption expense reimbursement.
  • Performance-based incentive awards may be paid annually or quarterly.
  • Equal opportunity employer with a drug-free workplace and no-tolerance policy for illegal drugs and alcohol on the job.

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