Design and maintain data pipelines using Azure Databricks and machine learning algorithms. Develop predictive models and perform data mining to uncover insights. Collaborate with cross-functional teams to drive business outcomes.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Position : Data Analyst with AI/ML and databricks
Location : New York City (no relocation candidates)
Work Visa : H4 EAD. Green Card EAD. GC, US Citizen Only
Pay: $55 On W2
Work Mode : Hybrid 3 days onsite and 2 day Remote
Interview : Onsite Interview (Mandatory )
JOB SUMMARY
Designing and maintaining data
- Azure Databricks required & ML/AI
JOB DESCRIPTION
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
- Strong experience in machine learning algorithms, predictive modeling, and data mining.
- Proficiency in Pyspark, Python pandas (required) for data science workloads.
- Strong SQL (required) knowledge and experience with relational databases.
- Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices.
- Experience with Azure Databricks, Google Cloud, and modern data science libraries (e.g., scikit-learn, pandas, NumPy).
- Experience with GenAI and large language models.
- Ability to interpret complex datasets and produce actionable insights.
- Must know how to analyze the root cause of dashboard errors.
- Have experience in ML Ops and have strong coding background.
- Have experience with Natural Language Processing (NLP).
- Knowledge or experience with A/B Testing.
- Working knowledge of designing, training, and implementing machine learning models.
- Familiarity with cloud-based infrastructure
- Excellent communication and problem-solving skills.
- 7 or more years of experience in data science and machine learning engineering.
Searching for Data Science roles that provide visa sponsorship? Connect with international employers through Data Science Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
Additional Skills (Skills that are a plus, but not required)
- Knowledge of statistical methods and experimental design.
Responsibilities
- Key Responsibilities
Advanced Analytics & Machine Learning
- Design, develop, and optimize machine learning models (forecasting, classification, clustering).
- Apply data mining techniques to uncover patterns and insights in large datasets.
- Perform feature engineering, model validation, and performance tuning.
- Explore and deploy modern AI and ML approaches to enhance automation and analytics.
Data Preparation & Quality
Interested in opportunities specifically in United State? Discover our dedicated Visa Sponsorship Jobs in United State page featuring roles from top employers in this location.
- Prepare structured and unstructured data for modeling and advanced analysis.
- Develop scripts and tools for data cleansing, validation, and enrichment.
- Collaborate with Data Engineering to maintain efficient data pipelines.
- Identify data quality issues and propose remediation.
Analytics, Insights & Reporting
- Conduct deep-dive analyses to identify trends and improvement opportunities.
- Communicate complex findings in clear, concise ways to technical and non-technical stakeholders.
- Support the development of dashboards, metrics, and analytical solutions.
Cross-Team Collaboration
- Work with architects, engineers, and analysts to define analytical requirements.
- Contribute to conceptual data model design and workflow optimization.
- Promote best practices in machine learning, analytics, and data governance.
Similar Jobs
Explore other opportunities that match your interests