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Consulting, Data Scientist

Deloitte

Consulting, Data Scientist

Deloitte

Morristown, NJ

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible PTO policy

Top Tier compensation with equity

Wellness benefits

Annual team offsites

Required Skills

Python

TensorFlow

PyTorch

Position Summary

Deloitte Consulting LLP seeks a Consulting, Data Scientist in Morristown, New Jersey and various unanticipated Deloitte office locations and client sites nationally.

Work You'll Do

  • Provide advisory and implementation services of large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to help companies unlock the value of big technology investments. Work across all phases of the Agile and Waterfall lifecycle for the design, development, testing and implementation of Master Data Management, Data Governance, Data Analytics and Data Integration solutions for enterprise-level clients. Provide technical recommendations for optimized data access and retention from data warehouses. Implement data integration solutions using dimensional modeling, granularity and source-to-target mapping to integrate new BI/DW requirements. Perform data management, such as master data, metadata, data architecture, data governance, data quality, data modeling, etc. Design database queries, triggers, procedures, functions and packages for reporting and data analytics. Design and develop data cleansing routines utilizing typical data quality functions including standardization, transformation, rationalization, linking and matching. Implement data enrichment, lookup, filtering and data cleansing routines and solutions to improve data quality of the ingested data.
  • 25% Travel required nationally.
  • Telecommuting permitted.
  • Work location includes various unanticipated Deloitte office locations and client sites nationally.

Requirements

Bachelor's degree or foreign equivalent in Business Administration, any STEM field, or a related field. Must have 1 year of related work experience in the job offered or in a related occupation.
Position requires 1 year of related work experience in each of the following:

  • Developing business solutions leveraging emerging automation, cognitive, and machine learning tools including Python and GenAI;
  • Designing database queries, triggers, procedures, functions and packages for reporting and data analytics using SQL and MySQL;
  • Helping to provide industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modelling using pandas, Num Py, scikit-learn, and Tableau;
  • Researching user reported issues, identifying root causes and resolutions, implementing fixes, and liaising between business functions, end users, and technical delivery teams, utilizing Slack and Agile Methodology;
  • Designing and implementing reporting and visualization for unstructured and structured data sets utilizing Tableau and Python;
  • Delivering Data Warehousing and Analytics solutions utilizing Amazon Web Services (AWS) Redshift and Google Cloud Platform (GCP) Big Query; and
  • Building reports and data models in Tableau based on performance measurement metrics, allowing business and technical users to provide insights into the organization's data.

Other

Hours: M-F, 40 hours/week;
If offered employment, must have legal right to work in U.S. EOE, including disability/veterans.

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purpose

Deloitte's purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact.

Professional development

From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
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.
Requisition code: 209097

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About Deloitte

Deloitte

Deloitte

Private Partnership

A business consulting company that offers audit, consulting, financial advisory, and tax services.

10,001+

Employees

London

Headquarters

Reviews

3.4

17 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.8

Career

2.2

Management

1.5

25%

Recommend to a Friend

Pros

Professional development and certification support

Opportunities to work on critical projects

Recognition of high performers

Cons

Poor management and leadership decisions

Unfair promotion processes despite good performance

Layoffs and job insecurity

Salary Ranges

87,539 data points

Junior/L3

L3

L4

L5

L6

L7

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L1

0 reports

$87,727

total / year

Base

-

Stock

-

Bonus

-

$74,568

$100,886

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Hiring Manager Interview

4

Behavioral Interview

5

Team/Panel Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Case Study

Past Experience

Culture Fit