Hiring Organization: Walgreens 

Post Name: Senior Data Scientist

Qualification: Graduation

Work Hours: 8 Hours

Salary: $20-30 An Hour

Location: Montgomery, USA

Full Job Descriptions

The Senior Information Researcher is answerable for applying exceptionally complex high level information science, prescient examination, and AI strategies to give bits of knowledge and significant suggestions, as well as giving counseling backing to applications improvement and cross practical drives.

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Work Responsibililities

• Constructs models and apparatuses involving specialized information in AI, measurable demonstrating, likelihood and choice hypothesis, and other quantitative methods. Advances by adjusting to new displaying methods and methodology.
• Figures out the business reality behind enormous arrangements of information and creates significant insightful arrangements.
• Applies logical meticulousness and factual strategies to dissect a lot of information, utilizing progressed measurable procedures, for example, prescient factual models, client profiling, division examination, review plan, investigation, and information mining. Constructs suggestions and enhancement algorithmic plans, performs data recovery, intricacy examination, logical registering.
• Programs utilizing tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, and so on.
• Performs AI procedures, administered and unaided calculations to assemble prescient models and prescriptive answers for help different business use cases.
• Assembles calculations like choice trees, relapse, XGBoost, K means, abnormality identification. Interpretable ML, Bayesian hypothesis, and so forth.
• Uses Distributed computing on Sky blue/Databricks, questioning in Snowflake.
• Uses programming instruments and approaches GitHub, Ceaseless joining and conveyance, nimble strategies.
• Teams up with finance, analysts, programming engineers, and business pioneers to characterize item prerequisites and offer scientific help.
• Conveys verbally and recorded as a hard copy to business clients and initiative group with different degrees of specialized information, teaching them about our frameworks, as well as sharing experiences and proposals.

Fundamental Capabilities

• M.S. in STEM, software engineering, data frameworks, physical science, arithmetic, measurements, information science, AI, or comparable.
• High level involvement with SQL, Python, PySPark or different dialects.
• High level expertise in exploratory information examination, include designing and determination, identifying designs, breaking down appropriations, 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 strategies (direct and calculated relapse, time series displaying, summed up straight models, choice trees, support vector machines, and so on) and unaided learning techniques (K means, various leveled grouping, affiliation rules, head parts).
• Experience with Cloud ML stages, disseminated processing, information pipelines, cloud information stores and serving motor.
• Experience planning and investigating A/B tests.
• High level expertise in passing thorough specialized ideas and contemplations on to non specialists.
• Experience working in a unique climate and working with uncertainty, focusing on needs, and conveying results.
• Experience actually conveying specialized arrangements and pushing to investigate researchers, designing groups and business crowds.
• No less than 2 years of involvement adding to monetary choices in the working environment.
• No less than 2 years of direct authority, circuitous initiative and additionally cross utilitarian group administration.
• Able to go up to/somewhere around 10% of the ideal opportunity for business purposes (inside state and out of state).

Favored Capabilities

• Ph.D. in STEM, software engineering, data frameworks, physical science, math, measurements, information science, AI, or comparable.
• Experience working with IoT, and Edge simulated intelligence is an or more.
• Experience in Support Learning is an or more.
• Experience in Medical care is an or more.

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Why US Is A Good Country for A Job

The United States is generally considered a good country for finding employment opportunities. It has a diverse economy with a variety of industries, including technology, finance, healthcare, manufacturing, and more, which offer many different types of jobs.

The US job market is also relatively strong, with a low unemployment rate and a high labor force participation rate. There are many job search resources available to job seekers in the US, including online job boards, staffing agencies, and career centers.

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That being said, the job market can vary depending on the industry, location, and individual circumstances. Some areas may have more job opportunities than others, and certain industries may be more competitive than others. Additionally, visa requirements and immigration policies can impact job opportunities for non-US citizens.

Overall, the United States is considered a good country for finding employment opportunities, but it is important to do research and carefully consider individual circumstances before making any decisions.

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