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 GCP)
-
Knowledge of MLOps model deployment and CI/CD
-
NLP or computer vision experience
Education & Experience
Certifications (Nice to Have)
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 f...
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 GCP)
-
Knowledge of MLOps model deployment and CI/CD
-
NLP or computer vision experience
Education & Experience
Certifications (Nice to Have)
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