Data Scientist

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Recruiting
Employment Authorization
Unstructured Data
Statistical Models
Data Cleansing
Analytics
Collaboration
Dashboard
Data Analysis
Workflow
Python
R
SQL
Probability
Linear Algebra
Algorithms
Regression Analysis
Clustering
Pandas
NumPy
scikit-learn
Data Visualization
matplotlib
Tableau
Microsoft Power BI
Analytical Skill
Conflict Resolution
Problem Solving
Deep Learning
TensorFlow
PyTorch
Big Data
Apache Spark
Apache Hadoop
Cloud Computing
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Natural Language Processing
Computer Vision
Computer Science
Statistics
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Machine Learning (ML)
Data Science

Job Details

Hiring: W2 Candidates Only

Visa: Open to any visa type with valid work authorization in the USA

Key Responsibilities

  • Analyze structured and unstructured data to identify trends and patterns

  • Build, test, and deploy machine learning and statistical models

  • Perform data cleaning, preprocessing, and feature engineering

  • Develop predictive and prescriptive analytics solutions

  • Collaborate with business, product, and engineering teams

  • Create data visualizations and dashboards to communicate insights

  • Validate model performance and ensure accuracy and reliability

  • Automate data analysis and model workflows

  • Document methodologies, models, and findings


Required Skills & Qualifications

  • Strong experience with Python or R

  • Proficiency in SQL

  • Solid understanding of statistics, probability, and linear algebra

  • Hands-on experience with machine learning algorithms (regression, classification, clustering)

  • Experience using libraries such as Pandas, NumPy, Scikit-learn

  • Knowledge of data visualization tools (Matplotlib, Seaborn, Tableau, Power BI)

  • Experience handling large datasets and data pipelines

  • Strong analytical and problem-solving skillsPreferred Skills

  • Experience with deep learning frameworks (TensorFlow, PyTorch)

  • Exposure to big data technologies (Spark, Hadoop)

  • Cloud experience (AWS, Azure, Google Cloud Platform)

  • Knowledge of MLOps, model deployment, and CI/CD

  • NLP or computer vision experience


Education & Experience

  • Bachelor s or Master s degree in Data Science, Computer Science, Statistics, or related field

  • 3-7 years of relevant experience (flexible based on seniority)


Certifications (Nice to Have)

  • AWS / Azure / Google Cloud Platform Data or ML certifications

  • Professional Data Science certifications


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