Vanguard

DataScientist,Specialist

$155–215k ~AI est. Malvern, Pennsylvania, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Scientist, Specialist at Vanguard. Skills: Data science, Predictive analytics, Statistical modeling, Machine learning. Develop complex queries. Perform extensive programming”

Industry & Context.

Problems you'll solve

Data inconsistencies; Data errors; Data gaps

Eligibility Requirements

No visa sponsorship

What They're Looking For.

Must Have

5 years of experience in data science, Expertise in programming with Python, Expertise in programming with R, Hands-on experience with machine learning libraries, Understanding of data pipelines, Understanding of data wrangling, Statistical experience in big data environments, Bachelor’s degree in Analytics, Bachelor’s degree in Applied Mathematics, Bachelor’s degree in Economics, Bachelor’s degree in Statistics, Bachelor’s degree in Computer Science, Master’s degree in a quantitative field, Diploma in a quantitative field

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Develop complex queries

Perform extensive programming

Prepare data for modeling

Lead deep dive diagnostics

Execute deep dive diagnostics

Lead predictive analytics

Execute predictive analytics

Lead prescriptive analytics

Execute prescriptive analytics

Mentor junior data scientists

Develop junior data scientists

Mentor junior analysts

Develop junior analysts

Identify data inconsistencies

Diagnose data inconsistencies

Document data assumptions

Forage to fill data gaps

Engage with internal stakeholders

Understand business processes

Probe business processes

Bring structure to requests

Translate requirements into analytic approach

Guide research design

Guide model validation

Provide statistical consultation

Serve as analytics expert

Contribute to analytic community growth

Prepare insight presentations

Deliver insight presentations

Communicate analytical findings

Communicate analytical implications

Participate in special projects

Design scalable data mining models

Design reporting protocols

Apply data science techniques

Solve business problems

Contribute to analytics advancement

Conduct exploratory research

Apply statistical theory

How You'll Work.

Team & Collaboration

Cross functional teams; Analytic community

Communication Scope

Insight presentations; Action recommendations; Complex findings

Full Job Description

**Responsibilities:** * Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling. * Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts. * Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. * Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. * Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community. * Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders. * Participates in special projects and performs other duties as assigned. * Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets. * Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations. * Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory. **Qualifications:** * Minimum 5 years of experience in data science, predictive analytics, or advanced statistical modeling roles * Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI * Bachelo

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