3 ΡΠ°ΡΠ° Π½Π°Π·Π°Π΄
Data Scientist, Professional Senior (AI)
108Β 960 - 163Β 440$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Data Scientist, Professional Senior (AI) (Machine Learning, Azure Databricks): Building and deploying predictive machine learning and artificial intelligence models from large, multidimensional machine-acquired datasets with an accent on feature engineering, statistical modelling, and time series forecasting. Focus on developing end-to-end ML solutions, processing data with PySpark and Databricks SQL, and translating model outputs into product and business insights.
Location: USA - Lincolnshire, Illinois
Salary: $108,960β$163,440 annual, plus a target annual cash incentive of 12% of base pay.
Company
develops smart solutions for organizations, their employees, customers, and partners.
What you will do
- Design, develop, and implement regression, classification, clustering, statistical, deep learning, and AI models.
- Build and deploy end-to-end machine learning solutions using structured, unstructured, and machine-acquired data.
- Apply feature engineering, data engineering, predictive modelling, and time series forecasting to identify actionable business and product insights.
- Develop tools for large-scale data analysis, visualization, and communication of findings to product, service, business, and executive stakeholders.
- Partner with experimentalists and cross-functional teams to translate models into testable hypotheses and improve data collection mechanisms.
- Mentor less experienced data scientists and contribute to innovation initiatives, publications, and patent disclosures.
Requirements
- Bachelorβs degree in Computer Science, Machine Learning, or a related discipline.
- 5+ years of experience with strong foundations in statistics, machine learning, deep learning, programming, and time series forecasting.
- Hands-on experience with Azure, especially Azure Databricks, plus PySpark and Databricks SQL for large-scale data processing.
- Experience building and deploying end-to-end ML solutions.
- Familiarity with CI/CD, GitHub Actions, and automated deployment frameworks such as Databricks Asset Bundles.
- Ability to work independently, take initiative, and collaborate with multidisciplinary teams.
Nice to have
- Masterβs degree and experience solving large-scale real-world industry problems.
- Knowledge of R, Python, Java, TensorFlow, NLP with NLTK, Apache Spark, NoSQL databases, and common machine learning methods and packages.
- Retail industry experience.
- Understanding of data structures, software design, and architecture.
Culture & Benefits
- Collaborative, inclusive environment with opportunities to learn, lead, and contribute to innovation.
- Benefits include healthcare, wellness programs, inclusion networks, learning and development, parental leave, paid time off, and employee assistance programs.
- Flexible team practices include hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day.
- Eligibility for performance-based cash incentive programs and, for some roles, long-term incentive equity awards.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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