Walgreens Entry Level Jobs @ Get Dream Job

Walgreen; Sacramento (CA); On-site; USD 27,552 - 41,328; Full time

Job summary

Walgreens is seeking a Senior Data Scientist to apply advanced AI and statistical methods to deliver actionable insights and drive business decisions in Sacramento, CA. The role involves building predictive models, data pipelines, and collaborating with cross-functional teams to shape product strategy.

Requirements include a Bachelor’s degree and strong experience with Python, SQL, PySpark, and ML frameworks.

Qualifications

• Bachelor degree in a related field and strong data science foundation.
• Experience designing and deploying end-to-end ML solutions.
• Proficiency in Python, SQL, and modern ML frameworks.

Responsibilities

• Apply advanced information science, prescient investigation, and AI methods to derive insights and advise on product improvements.
• Construct models and tools using AI, statistical modeling, and quantitative methods.
• Enhance with new modeling approaches and analytics techniques.
• Perform exploratory data analysis and build prescriptive/predictive models for business use cases.
• Create and deploy algorithms and data pipelines; recover data and perform analytic computations.
• Collaborate with finance, engineering, software developers, and business leaders to define product requirements.

Skills

Python

SQL

PySpark

TensorFlow

PyTorch

Machine Learning

Data Visualization

Cloud Platforms

Education

Bachelor Degree

Tools

GitHub

Airflow

Databricks

Spark

Job description

Senior Data Scientist Salary: $20-30 Hour Company: Walgreens Location: Sacramento, USA Educational Requirements: Bachelor Degree

Job Responsibilities

• The Senior Information Researcher is liable for applying profoundly complex high level information science, prescient investigation, and AI methods to give experiences and significant suggestions, as well as giving counseling backing to applications improvement and cross useful drives.

Work Responsibilities

• Constructs models and devices involving specialized information in AI, factual displaying, likelihood and choice hypothesis, and other quantitative strategies.
• Enhances by adjusting to new displaying strategies and systems.
• Grasps the business reality behind enormous arrangements of information and creates significant logical arrangements.
• Applies insightful thoroughness and measurable strategies to investigate a lot of information, utilizing progressed factual procedures, for example, prescient measurable models, client profiling, division examination, overview plan, examination, and information mining.
• Assembles suggestions and advancement algorithmic plans, performs data recovery, intricacy investigation, logical registering.
• Programs utilizing tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, and so forth.
• Performs AI strategies, directed and solo calculations to fabricate prescient models and prescriptive answers for help different business use cases.
• Fabricates calculations like choice trees, relapse, XGBoost, K means, abnormality location.
• Interpretable ML, Bayesian hypothesis, and so forth.
• Uses Distributed computing on Sky blue/Databricks, questioning in Snowflake.
• Uses programming devices and techniques GitHub, Persistent coordination and conveyance, lithe approaches.
• Teams up with finance, specialists, programming designers, and business pioneers to characterize item necessities and offer logical help.
• Imparts verbally and recorded as a hard copy to business clients and initiative group with different degrees of specialized information, instructing them about our frameworks, as well as sharing bits of knowledge and suggestions.

Fundamental Capabilities

• Something like 2 years of involvement working with huge scope, complex datasets to make/streamline AI, prescient, anticipating, and additionally enhancement models.
• High level involvement with SQL, Python, PySPark or different dialects.
• High level expertise in exploratory information examination, include designing and choice, identifying designs, breaking down conveyances, picturing results, and separating experiences to assist business with settling on informed information driven choices.
• Experience utilizing choice trees, building classifiers.
• Experience with regulated learning techniques (direct and calculated relapse, time series displaying, summed up straight models, choice trees, support vector machines, and so on) and unaided learning strategies (K means, various leveled bunching, affiliation rules, head parts).
• Experience with Cloud ML stages, circulated registering, information pipelines, cloud information stores and serving motor.Experience planning and dissecting A/B tests.
• High level ability in passing thorough specialized ideas and contemplations on to non specialists.
• Experience working in a powerful climate and working with equivocalness, focusing on needs, and conveying results.
• Experience actually conveying specialized arrangements and pushing to investigate researchers, designing groups and business crowds.
• Somewhere around 2 years of involvement adding to monetary choices in the work environment.
• Somewhere around 2 years of direct initiative, aberrant administration as well as cross utilitarian group authority.
• Ready to make a trip up to/something like 10% of the ideal opportunity for business purposes (inside state and out of state).

Favored Capabilities

• Experience working with IoT, and Edge computer based intelligence is an or more.
• Experience in Support Learning is an or more.
• Experience in Medical care is an or more.