Data Scientist, Specialist

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 8 years of experience in data science or predictive analytics
  • Expertise in Python, R, or SQL programming
  • Hands-on experience with machine learning libraries like Scikit-learn or TensorFlow
  • Strong understanding of data pipelines and statistical techniques
  • Experience working in big data environments such as Spark or Hadoop
  • Familiarity with data visualization tools like Tableau or Power BI
  • Bachelor’s or Master’s degree in a quantitative field such as Statistics or Applied Mathematics

Responsibilities

  • Develop complex data queries and extensive programming for statistical modeling
  • Lead diagnostic and predictive analytics to support business decision-making
  • Identify data inconsistencies and document assumptions
  • Engage internal stakeholders to understand business needs and develop analytic hypotheses
  • Guide research design and model validation while serving as an analytics expert on teams
  • Prepare and deliver presentations of analytical findings to business leaders
  • Participate in special projects and perform other duties as assigned
  • Design scalable data mining models to identify trends in large datasets
  • Apply modern data science techniques to solve cross-functional business problems
  • Contribute to analytics advancement through exploratory research and statistical theory

Benefits

  • Hybrid working model for enhanced flexibility
  • Collaborative culture that supports long-term client outcomes
  • Focus on individual skill development and team learning
  • Mission-driven approach aimed at client financial wellbeing
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 8 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 (B.E./B.Tech) 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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