Data Scientist, Specialist

Capital Markets Placement

$90K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

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 like Scikit-learn or TensorFlow
  • Strong understanding of data pipelines, data wrangling, and statistical techniques
  • Experience in big data environments such as Spark or Hadoop
  • Familiarity with visualization tools like Tableau or Power BI
  • Bachelor’s or Master's degree in a quantitative field like Analytics, Statistics, or Computer Science

Responsibilities

  • Develop complex queries and program to prepare data for statistical modeling
  • Lead deep dive analytics to support data-driven decision making
  • Identify and diagnose data inconsistencies and fill data gaps
  • Engage with stakeholders to translate business requirements into analytics
  • Guide test design, research design, and model validation
  • Prepare presentations communicating complex analytical findings
  • Participate in special projects and perform additional duties as assigned
  • Design scalable data mining models and reporting protocols

Benefits

  • Opportunity for mentorship and leadership development
  • Engagement with cross-functional teams on strategic initiatives
  • Exposure to cutting-edge statistical theory and methodologies
  • Participation in an analytics community focused on growth
  • Involvement in diverse business functions including marketing and operations
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

  • Bachelor’s degree in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

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