Data Scientist

Virtual Networx
Houston, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Houston, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Cloud Computing
Data Cleansing
Data Visualization
Hadoop
Hive
Python
Machine Learning
Natural Language Processing
NumPy
Recommender Systems
Power BI
TensorFlow
Scala
SQL Databases
Tableau
Data Processing
Google Cloud Platform
Feature Engineering
PyTorch
Large Language Models
Spark
Deep Learning
Model Validation
Generative AI
GIT
Pandas
Matplotlib
Scikit Learn
Kubernetes
Data Analytics
Machine Learning Operations
Software Version Control
Docker
Unsupervised Learning
Databricks

Job description

  • Collect, clean, and analyze large datasets.
  • Build predictive and machine learning models.
  • Perform exploratory data analysis (EDA) to identify trends and insights.
  • Develop statistical models to solve business problems.
  • Create dashboards and visualizations for stakeholders.
  • Validate, monitor, and improve model performance.
  • Collaborate with data engineers, analysts, and business teams.
  • Present findings and recommendations to technical and non-technical audiences.
  • Automate data processing and model deployment workflows.
  • Stay current with new AI, ML, and data science technologies.

Requirements

Skills: Python,PyTorch ,SQL, Scala, Java, Data Analysis, Data Visualization, Pandas, NumPy, , Tableau, Power BI,EDA, * Python (Pandas, NumPy, Scikit-learn)

  • SQL for data extraction and analysis
  • Statistics and Probability
  • Machine Learning (Supervised & Unsupervised Learning)
  • Data Cleaning and Feature Engineering
  • Data Visualization (Tableau, Power BI, Matplotlib, Seaborn)
  • Exploratory Data Analysis (EDA)
  • Predictive Modeling
  • Model Evaluation and Validation
  • Deep Learning (TensorFlow or PyTorch) preferred
  • Version Control (Git)
  • Cloud platforms (AWS, Azure, or Google Cloud)

Preferred Skills

  • NLP (Natural Language Processing)
  • Large Language Models (LLMs)
  • Generative AI
  • Apache Spark or Databricks
  • MLOps (MLflow, Kubeflow)
  • Docker and Kubernetes
  • Big Data technologies (Hadoop, Hive)
  • A/B Testing and Experimentation
  • Time Series Forecasting
  • Recommendation Systems

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