Sr. Data Analyst
Location: Manhattan NY
Duration: 12 Months
Job Summary
STAFFXPERT is looking for a Sr. Data Analyst will be responsible for designing developing and maintaining advanced analytics and machine learning solutions. The role involves working with large datasets building predictive models optimizing data pipelines and delivering actionable insights to business and technical stakeholders.
Required Skills
- Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics or related field.
- 7 years of experience in Data Science and Machine Learning Engineering.
- Strong hands-on experience with Machine Learning algorithms predictive modeling and data mining.
- Expertise in PySpark and Python Pandas for data science workloads.
- Strong SQL knowledge and experience with relational databases.
- Minimum 3 years of experience with Power BI DAX Queries and visualization best practices.
- Experience with Azure Databricks and Google Cloud Platform.
- Strong coding background with ML Ops experience.
- Experience with GenAI and Large Language Models (LLMs).
- Hands-on experience with NLP (Natural Language Processing).
- Experience with A/B Testing methodologies.
- Familiarity with cloud-based infrastructure.
- Strong communication and problem-solving skills.
Technical Skills
Must Have
- Applied Machine Learning
- Azure Databricks
- Big Data Analytics
- Databricks Certified Data Engineer Associate
- Data Structures
- Google Cloud Certified Machine Learning Engineer
- Machine Learning Operations (ML Ops)
- Pandas Python Library
- PySpark
- SQL
- Power BI
- DAX Queries
- NLP
- GenAI / LLMs
Sr. Data Analyst Location: Manhattan NY Duration: 12 Months Job Summary STAFFXPERT is looking for a Sr. Data Analyst will be responsible for designing developing and maintaining advanced analytics and machine learning solutions. The role involves working with large datasets building predictive m...
Sr. Data Analyst
Location: Manhattan NY
Duration: 12 Months
Job Summary
STAFFXPERT is looking for a Sr. Data Analyst will be responsible for designing developing and maintaining advanced analytics and machine learning solutions. The role involves working with large datasets building predictive models optimizing data pipelines and delivering actionable insights to business and technical stakeholders.
Required Skills
- Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics or related field.
- 7 years of experience in Data Science and Machine Learning Engineering.
- Strong hands-on experience with Machine Learning algorithms predictive modeling and data mining.
- Expertise in PySpark and Python Pandas for data science workloads.
- Strong SQL knowledge and experience with relational databases.
- Minimum 3 years of experience with Power BI DAX Queries and visualization best practices.
- Experience with Azure Databricks and Google Cloud Platform.
- Strong coding background with ML Ops experience.
- Experience with GenAI and Large Language Models (LLMs).
- Hands-on experience with NLP (Natural Language Processing).
- Experience with A/B Testing methodologies.
- Familiarity with cloud-based infrastructure.
- Strong communication and problem-solving skills.
Technical Skills
Must Have
- Applied Machine Learning
- Azure Databricks
- Big Data Analytics
- Databricks Certified Data Engineer Associate
- Data Structures
- Google Cloud Certified Machine Learning Engineer
- Machine Learning Operations (ML Ops)
- Pandas Python Library
- PySpark
- SQL
- Power BI
- DAX Queries
- NLP
- GenAI / LLMs
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