Data Scientist-Core Business Services-Investments-Supervising Associate-Multiple Positions-1480403

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.  At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 

Data Scientist, Core Business Services (Investments) (Supervising Associate) (Multiple Positions), Ernst & Young U.S. LLP, Tysons (McLean), VA.

 

Develop and maintain programming for data pipeline, perform data exploration, work on model testing, improve model performance, and achieve model optimization. Analyze and interpret datasets to identify significant differences in relationships, and to support the development of analytic solution features. Build econometric and machine learning models to predict business performance and provide impactful business insights in key areas, such as financial forecasting, scenario planning, employee attrition and productivity, and client account performance drivers, which will provide key inputs to critical businesses processes. Work closely with executives responsible for creating and driving data driven solutions within EY and our clients. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
 
Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. Communicate results effectively to leadership by translating complex models into business-friendly tools. Mentor and technically develop a junior team member.

 

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

 

 

MINIMUM REQUIREMENTS:

 

Must have a Bachelor’s degree in Data Science, Business Analytics, Economics, Finance, Mathematics, Statistics, Computer Science, Information Technology, Computer Engineering or a related quantitative field and 3 years of related work experience.  Alternatively, will accept a Master’s degree in Data Science, Business Analytics, Economics, Finance, Mathematics, Statistics, Computer Science, Information Technology, Computer Engineering or a related quantitative field and 2 years of related work experience.

 

Must have 1 year of experience applying advanced tree-based machine learning algorithms, including Gradient Boosting for classification problems.

 

Must have 1 year of experience with dimension reduction and working with financial data. 

 

Must have 1 year of experience with data augmentation techniques with at least one or a combination of the following: SMOTE, SMOTE-NC, and/or SMOGN.  

 

Must have 1 year of hands-on experience implementing statistical techniques including OLS, or Logit.

 

Must have 2 years of experience in one or a combination of the following programming languages used for data cleaning, analysis, and visualization: R, Python, Stata, and/or Julia.

 

Must have 2 years of experience with SQL and common relational database tools, including one or a combination of the following: MS SQL; MySQL; and/or Azure SQL Database.

 

Must have 2 years of experience creating dashboards and visualized metrics using Tableau and/or Power BI.

 

Must have 2 years of experience in: 

• independent task management and distilling project objectives in a new environment of data sets;
• addressing business needs and creating successful technology solutions within budget, timeline, and quality;
• managing projects that involve predicting level of attrition of a group of employees, preparing the data set with multiple descriptors related to demographic characteristics and work specific characteristics.

 

Must have 2 years of experience manipulating, transforming, and analyzing complex data including all of the following:

• Analyzing exploratory data;
• Checking for data quality;
• Applying statistical tests;
• Conducting distributional analysis;
• Conducting feature engineering;
• Testing multicollinearity in both continuous and categorical variables;
• Checking for outliers;
• Applying data augmentation techniques;
• Applying Machine Learning Algorithms and/or statistical techniques for analysis;
• Measuring the performance of technique selected; and
• Interpreting the results of data and assessing the merits of metrics chosen.

 

Employer will accept any suitable combination of education, training or experience.

 

Please apply on-line at ey.com/en_us/careers and click on “Careers – Job Search”, then “Search Jobs” (Job Number – 1480403).

What we offer

 

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. The base salary for this job is $145, 535.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

 

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

 

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

 

The exceptional EY experience. It’s yours to build.

EY | Building a better working world

 

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

 

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

 

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

 

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

 

EY is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and either need assistance applying online or need to request an accommodation during the interview process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at [email protected].

 

This particular position at Ernst & Young in the United States requires the qualified candidate to be a “United States worker” as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a “U.S. worker”.