Data Scientist II — Hybrid Role, ML & Analytics

Truist Wealth

Charlotte (NC)

Hybrid

USD 120,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) plan
Paid time off
Life insurance

Job summary

Truist Wealth seeks a data scientist to perform sophisticated analytics, from econometrics to machine learning, delivering insights that improve business outcomes and reduce risk. You’ll work with structured and unstructured data, communicating findings to business leaders and shaping analytics strategies.

Based in Charlotte, NC, the role may offer hybrid/remotely work options while reporting to Truist offices.

Qualifications

  • Bachelor’s degree in a quantitative field plus 4 years in analytics.
  • Statistical methods including econometrics, time-series, and hypothesis testing.
  • Data cleansing and preparation (regex, filtering, indexing, interpolation, outlier treatment).
  • Data analysis techniques, EDA, and data visualization to communicate insights.
  • NLP techniques and related deep learning knowledge.
  • Experience managing multiple projects with tight deadlines.
  • Proficiency with SQL, SAS, Python, R, Pandas, NumPy, Tableau, Hadoop, and Unix Putty.

Responsibilities

  • Perform sophisticated analytics (statistical and predictive analytics, ML) to provide actionable insights and reduce risk.
  • Independently analyze structured and unstructured data in diverse environments.
  • Produce compelling data visualizations to influence stakeholders.
  • Own end-to-end data science solution design, delivery, and outcomes.
  • Engage stakeholders to identify objectives and scope solution requirements.
  • Write, document, and deploy code (Python, SAS, R) for predictive analytics apps.
  • Collaborate via internal repositories to share learning and skills.
  • Research and advocate emerging methods to advance Truist’s capabilities.
  • Promote risk-aware design and data governance across projects.

Skills

Statistical methods
EDA & visualization
NLP & DL
Programming concepts
Data cleaning
Big data analytics

Education

Bachelor’s degree in Data Science or related field

Tools

SQL
SAS
Python
R
Pandas
NumPy
Tableau
Hadoop
Unix Putty

Job description

Truist Wealth seeks a data scientist to perform sophisticated analytics, from econometrics to machine learning, delivering insights that improve business outcomes and reduce risk. You’ll work with structured and unstructured data, communicating findings to business leaders and shaping analytics strategies.

Based in Charlotte, NC, the role may offer hybrid/remotely work options while reporting to Truist offices.

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