Senior Data Scientist

Description

This senior data scientist role sits on project teams that support the company's eCommerce work.

The job centers on building models, data sets, and algorithms that drive business decisions and search results.

Responsibilities

• Design custom data models that support new business solutions.
• Assemble complex data sets from internal and external sources.
• Run advanced statistical analysis to surface trends and meaningful relationships in the data.
• Build learning systems that process continuous data streams as well as offline data.
• Train algorithms so they can apply models to new data.
• Test and validate models and algorithmic methods.
• Extend new algorithms so they work on large data sets.
• Combine data features to build search models.
• Follow new industry research and best practices.
• Use tools such as MySQL, Hadoop, Weka, R, Matlab, and ILog.
• Build large data sets from several sources to create algorithms that predict future data characteristics, then test, validate, and apply them to large data sets.
• Train algorithms for future data so they return suitable search results.
• Apply current technology such as HBase, MapReduce, LAPack, and Gurobi, together with analytical methods, to assigned projects.
• Partner with cross-functional teams across the business.
• Model the current state to identify needed improvements.
• Give analytical support to eCommerce project teams.

Requirements

• A Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 1 year of experience in an analytics-related field; or a Bachelor's degree or equivalent in those fields, plus 3 years of experience in an analytics-related field.
• Graduate coursework, graduate research, or professional experience with the required skills is accepted in any amount.
• Experience with statistical methods and modeling techniques, including graphical models, Bayesian inference, neural networks, SVM, and random forest.
• Experience coding in object-oriented languages and statistical tools, specifically Python and R.
• Experience with optimization techniques, including Newton-Raphson methods and gradient descent.
• Experience with numerical optimization methods, including linear, integer, and quadratic programming.
• Experience with database technologies and distributed datastores, including SQL and NoSQL.
• Experience with big data technologies, including Hadoop, Spark, and Hive.
• Experience with data visualization tools, including ggplot, Matplotlib, Plotly, Tableau, and Power BI.
• Experience with the data ecosystem, including data management, data quality standards and 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 machine learning algorithms, neural networks, and deep learning frameworks, specifically TensorFlow and PyTorch.
• Experience using Git for code versioning, including managing repositories, branching and merging, and collaborating on GitHub.
• Experience designing and implementing CI/CD pipelines that automate testing, integration, and deployment for fast, reliable software releases.
• Experience with model evaluation and data drift detection.

Conditions

The role is based at 1375 Crossman Avenue, Sunnyvale, CA 94089.

The pay range is $168,917 per year to $234,000 per year, plus annual or quarterly performance incentives.

Benefit eligibility may depend on job classification and length of employment, and benefits may change or follow specific plan terms. Details are on the company's internal benefits site.

The company is an equal opportunity employer.

The company maintains a drug-free workplace with zero tolerance for illegal drugs and alcohol on the job.

Benefits

• Performance-based incentive awards.
• Medical, vision, and dental coverage.
• 401(k), stock purchase, and company-paid life insurance.
• PTO including sick leave, parental leave, family care leave, bereavement, jury duty, and voting time.
• Short-term and long-term disability coverage.
• Education assistance with 100% company-paid college degrees.
• Company discounts, military service pay, adoption expense reimbursement, and more.