Data Scientist

Deloitte • Louisville, KY • 4w ago

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities

Work with data science techniques and libraries to show data's applicability to the clients' business problems.

Perform exploratory data analysis to define analytical models.

Develop advanced quantitative models using Python, PySpark, and associated libraries to support predictive assessments.

Explain analytics model behavior/results in business-friendly language.

Build, test, validate, and demonstrate analytical models through various relevant error metrics and calibration techniques.

Apply algorithms that require multiple models/methods to be used in an ensemble.

Utilize SQL to query, manipulate and extract data to drive business insights

Deploy models into production with Airflow.

Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.

Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational

The Team

As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.

Qualifications

Required

5+ Years experience as a Data Scientist

5+ Years experience conducting Time-Series Analysis and Anomaly Detection

5+ Years experience using the following tools: SQL, Tableau, and Python

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Limited immigration sponsorship may be available

Must be able to sit onsite in Cupertino, CA

Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

A background in marketing analytics, market research, or sales analytics

Analytical/ Decision Making Responsibilities

Analytical ability to manage multiple projects and prioritize tasks into manageable work products

Can operate independently or with minimum supervision

Excellent Written and Communication Skills

Ability to deliver technical demonstrations

For individuals assigned and/or hired to work in California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington state and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $109,000 to $170,000.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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