Consultant, Data Science and Analytics

Key Skills

Data Analytics, Data Modeling, Data science techniques, Effective communication skills, Optimization, Writing

Job Description

What You'll Bring:

• Bachelor’s degree (required) with mathematical or engineering background: Statistics, Data Mining, Operations Research, Econometrics, Finance, Engineering or similar.
• An effective communicator in both written and verbal skills.
• Ability to manage multiple projects with a large cross-functional team.
• Ability and willingness to learn in a fast paced environment and adapt to the situation.
• Ability to work with junior data scientists and offshore associates.
• This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

We’re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we’re happy to support your development in:

• 5+ years of quantitative analytics experience with marketing metrics and tracking is helpful, but not required.

Impact You'll Make:

In the 1st 90 days, you will:

• Report directly to the Senior Manager of Data Science & Analytics.
• Help diagnose business needs, translate into questions that Transunion will answer, and architect ways to wrangle data from multiple sources.
• Work closely with Transunion’s data scientists, consultants, and external clients to identify new insights, translate findings into the stakeholder’s native language.
• Execute cross-functional best practices ensuring quality delivery and instituting processes to improve efficiency of our analytic solutions.

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Day-to-day role responsibilities include:

• Working with senior data scientists and offshore associates to ensure model quality in terms of modeling methodologies, data / model validation metrics, actionable insights, and analytical/technical best practices.
• Analyzing big data sets to generate deep insights on paid media, organic media, market conditions, web navigations, and individuals’ propensities on multi-step conversion activities in the consumer journeys.
• Telling stories to make complex things simple to understand and translate into measurable actions.
• Validating model results and package them into insightful client-friendly reports on ROI analysis, forecasting, simulation and optimization.
• Ensuring rigorous quality control and detect anomalies in the model with ongoing new data stream.
• Participate analytics discussions in client meetings
• Cross-functional collaboration and best practices

Benefits:

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion’s Employee Resource Groups.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

Pay Scale Information :

The salary range for this position is $80,845.00 - $132,600.00. *The salary range for this position reflects the general range of compensation for this job and does not include our bonus incentive(s). This position is eligible for bonus incentive(s). At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, industry knowledge, as well as the scope and responsibilities of the position, and market considerations.