Senior Data Scientist

Product | Product Planning and Development
Same job available in 15 locations

Atlanta, Georgia, United States

Austin, Texas, United States

Boston, Massachusetts, United States

Chicago, Illinois, United States

Cleveland, Ohio, United States

Dallas, Texas, United States

Detroit, Michigan, United States

Houston, Texas, United States

Los Angeles, California, United States

Miami, Florida, United States

Nashville, Tennessee, United States

Portland, Oregon, United States

Rosslyn, Virginia, United States

St. Louis, Missouri, United States

Tampa, Florida, United States

Position Summary

Position Summary:

Data Science & Machine Learning is one of the key drivers for Deloitte’s successful business growth, and we are fully committed to deliver best class products and solution strategies. This position is for a role on HealthPrism™, a solution designed to provide insights about populations who are at an elevated risk for various health conditions. We are hiring a Senior Data Scientist to lead a team of data scientists in building predictive models to achieve technical delivery objectives and address real-world business challenges. The ideal candidate has direct, hands-on experience in predictive modeling using machine learning techniques and has experience leading a team of data scientists in data wrangling, data visualization, statistical analysis and building predictive, machine learning models using supervised, unsupervised and semi-supervised techniques.

Work You’ll Do

  • Understand the business use case, conduct preliminary analysis, and propose potential solutions using statistical and predictive modeling techniques to solve clients’ problems
  • Perform feasibility analysis of proposed solutions through data exploration and building proof of concept predictive models
  • Lead and train a team of data scientists in building advanced analytical and predictive models using large volumes of structured, semi-structured and chaotic data
  • Conduct research, pull data from disparate data sources and prepare data prior to building models on a variety of use cases
  • Apply analytical reasoning to solve challenges such as data imbalance, overfitting, etc. to improve model performance
  • Investigate model outcomes using feature importance, SHAP analysis etc. to interpret models
  • Update your knowledge base with AI/ML advances
  • Work in a highly collaborative atmosphere of data scientists and team leaders from various geographic locations
  • Present model methodology and outcomes to key stakeholders for technical review and feedback
  • Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development

The Team

HealthPrism™ is a population segmentation solution that empowers clients to achieve better health outcomes for the communities they serve by mobilizing cutting-edge AI, social drivers of health data, and geospatial analytics. The team has a proven track record serving its clients to reveal actionable social, economic, health, and lifestyle insights. Check out HealthPrism™!

Basic Qualifications:

  • Strong quantitative and analytical skills with a fundamental understanding of Statistical and Machine Learning algorithms
  • Strong programming skills in Python and SQL
  • Strong problem-solving skills with emphasis on predictive modeling at the individual level
  • Ability to manage multiple projects simultaneously
  • Excellent communication and critical thinking skills
  • A passion for leading and supporting career growth for a team of data scientists
  • 5+ years of strong predictive modeling experience using machine learning techniques
  • 2+ years of experience leading a team of data scientists in building predictive models to address challenging business problems
  • Master’s degree or greater in Engineering/Computer Science/Statistics/Mathematics or other quantitative field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred Qualifications:

  • Strong understanding of algorithmic bias and implications
  • Experience with building and deploying models in any cloud service
  • PhD in Engineering/Computer Science/Statistics/Mathematics or other quantitative field

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

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 diverse, equitable, and 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. Learn more about our inclusive culture.
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: 196161

SCAM ALERT

Caution against fraudulent job offers!

We have been informed of instances where jobseekers are led to believe of fictitious job opportunities with Deloitte US (“Deloitte”). In one or more such cases, false promises of actual or potential selection, or initiation or completion of the recruitment formalities appear to have been or are being made. Some jobseekers appear to have been asked to pay money to specified bank accounts of individuals or entities as a condition of their selection for a ‘job’ with Deloitte. These individuals or entities are in no way connected with Deloitte and do not represent or otherwise act on behalf of Deloitte.

We would like to clarify that:

  • At Deloitte, ethics and integrity are fundamental and not negotiable.
  • We are against corruption and neither offer bribes nor accept them, nor induce or permit any other party to make or receive bribes on our behalf.
  • We have not authorized any party or person to collect any money from jobseekers in any form whatsoever for promises of getting jobs in Deloitte.
  • We consider candidates on merit and that we provide an equal opportunity to eligible applicants.
  • No one other than designated Deloitte personnel (e.g., a Deloitte recruiter or Deloitte hiring partner) is permitted to extend any job offer from Deloitte.

Anyone who at any time has made or makes any payment to any party in exchange for promises of job or selection for a job with Deloitte or any matter related to this (including those for ‘registration’, ‘verification’ or ‘security deposit’) or otherwise engages with any such person who has made or makes fraudulent promises or offers, does so (or has done so) entirely at their own risk. Deloitte takes no responsibility or liability for any such unauthorized or fraudulent actions or engagements. We encourage jobseekers to exercise caution.