Senior Data Scientist

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
25% Travel

Skills

Advanced Analytics
Algorithms
Apache Spark
Artificial Intelligence
Big Data
Cloud Computing
Data Analysis
Data Modeling
Data Science
Docker
EDA
Google Cloud
Google Cloud Platform
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
PyTorch
Python
R
SQL
Statistics
Vertex
scikit-learn
NLP
TensorFlow

Job Details

Job Title: Senior Data Scientist

Location: Columbus, OH (Hybrid)

Employment Type: W2 Only (NO C2C/1099)

Duration: 12+ Months

Position Overview

We are seeking a highly skilled Senior Data Scientist with expertise in Artificial Intelligence (AI), Machine Learning (ML), and Google Cloud s Vertex AI platform. The ideal candidate will lead advanced analytics initiatives, design predictive models, and deploy scalable ML solutions to drive business insights and innovation.

Key Responsibilities

  • Design, develop, and implement AI/ML models for predictive analytics, classification, and recommendation systems.
  • Utilize Vertex AI for model training, deployment, and monitoring in a cloud environment.
  • Perform data preprocessing, feature engineering, and model optimization for large-scale datasets.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Conduct exploratory data analysis (EDA) and communicate insights through visualizations and reports.
  • Integrate ML models into production systems using MLOps best practices.
  • Stay updated with emerging trends in AI/ML and cloud technologies.

Required Skills

  • 11+ years of experience in Data Science or Data Analytics.
  • Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or related field.
  • Strong proficiency in Python, R, and ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with Vertex AI and Google Cloud Platform (Google Cloud Platform).
  • Expertise in data modeling, statistical analysis, and algorithm development.
  • Solid understanding of MLOps, CI/CD pipelines, and model lifecycle management.
  • Experience with SQL and big data tools (BigQuery, Spark).
  • Strong problem-solving and analytical skills.

Preferred Skills

  • Knowledge of Natural Language Processing (NLP) and Computer Vision techniques.
  • Familiarity with AutoML, feature store, and pipeline orchestration in Vertex AI.
  • Experience with Docker, Kubernetes, and containerized ML deployments.
  • Excellent communication skills for presenting technical concepts to non-technical stakeholders.
  • Relevant certifications in Google Cloud AI/ML or Vertex AI are a plus.

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