Apply on Employer Site

Deloitte · 2 days ago

Data Science Consultant

Cincinnati, OH

Full-time

Hybrid

Entry, Mid Level

$93K/yr - $171K/yr

2+ years exp

Deloitte is a leading professional services firm that empowers organizations through innovative strategies and advanced analytics. As a Data Science Consultant, you will solve data problems end to end, translating business goals into machine learning use cases and working closely with clients to deliver impactful marketing data science solutions.

AccountingConsultingFinancial ServicesLegalProfessional ServicesRisk Management

Growth Opportunities

No H1B

Responsibilities

Ability to understand business goals and translate them into Machine Learning use cases and model design

Understanding and applying clustering/sampling techniques to design

Grow your understanding of the multi-channel marketing optimization problem space

Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes

Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models

Being able to interpret the models that are being generated

Developing proofs of concept to verify your ideas

Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients

Working closely with clients throughout

Qualification

Machine LearningData AnalysisModeling TechniquesPythonETLDeep LearningCommunication SkillsProblem Solving

Required

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates

At least 2+ years of industry experience outside of academia

Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve

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

A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates

Good problem decomposition skills and autonomy when faced with solving data problems

Experience manipulating large marketing data sets and performing ETL

Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design

Experience with large data sets generated in the Ad Tech or Marketing technology spaces

Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding

Proficiency in high level scripting language, such as Python or R

Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises

If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us

Experience with Deep Learning architectures and/or Reinforcement Learning