Senior Data Analyst

Akaasa Technologies
Hanover, United States of America
3 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 260K

Job location

Hanover, United States of America

Tech stack

A/B testing
Artificial Intelligence
Data analysis
Big Data
Data Mining
Data Structures
Data Visualization
Relational Databases
Python
Machine Learning
Natural Language Processing
NumPy
Power BI
Standard Sql
Google Cloud Platform
Cloud Platform System
Large Language Models
Pandas
PySpark
Scikit Learn
Information Technology
Data Analytics
Machine Learning Operations
Databricks

Job description

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Requirements

  • Experience Level: 7+ years
  • MUST HAVE STRONG MACHINE LEARNING
  • Azure Databricks
  • Big Data Analytics
  • Databricks Certified Data Engineer Associate
  • Data Structures
  • Google Cloud Certified Machine Learning Engineer
  • Machine Learning Operations
  • Pandas Python Library
  • PySpark

Required:

  • 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.
  • Additional Skills (Skills that are a plus, but not required)
  • Knowledge of statistical methods and experimental design.

Benefits & conditions

SaidGig

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About the company

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