ApacheAWSAzureCloudGoogle Cloud PlatformHadoopNumpyPandasPythonPyTorchScikit-LearnSparkSQLTableauTensorflowMachine LearningDeep LearningNLPNatural Language ProcessingTensorFlowscikit-learnNumPyMLOpsAnalyticsBIBusiness IntelligencePower BIApache SparkStatistical AnalysisGoogle CloudCI/CDCommunicationRemote Work
About this role
Role Overview
Lead the development of advanced analytics and machine learning solutions
Transform complex data into actionable insights
Build predictive models and deliver scalable data science solutions
Collaborate with cross-functional stakeholders across product, engineering, and business teams
Requirements
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
Minimum 5 years of professional experience in data science, machine learning, or advanced analytics roles
Strong proficiency in Python and hands-on experience with libraries such as Pandas, NumPy, and scikit-learn
Strong SQL skills with demonstrated experience querying and working with structured and large-scale datasets
Proven experience building, evaluating, and deploying machine learning models in production environments
Solid foundation in statistical analysis, predictive modeling, experimentation, and feature engineering
Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
Strong written and verbal communication skills in English, with the ability to explain complex technical concepts clearly to technical and non-technical stakeholders
Demonstrated ability to work effectively in a remote environment while operating within U.S. time zones
Preferred experience with big data technologies such as Apache Spark, Hadoop, or similar distributed processing frameworks
Preferred familiarity with deep learning frameworks such as TensorFlow or PyTorch
Preferred experience with natural language processing, including text classification, sentiment analysis, or related NLP applications
Preferred experience with business intelligence and data visualization tools such as Tableau, Power BI, or similar platforms
Preferred exposure to MLOps practices, including model versioning, monitoring, CI/CD, and lifecycle management
Tech Stack
Apache
AWS
Azure
Cloud
Google Cloud Platform
Hadoop
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Spark
SQL
Tableau
Tensorflow
Benefits
Competitive compensation
Flexible remote work aligned with U.S. time zones
Opportunity to work on high-impact, data-driven initiatives
Collaborative and growth-oriented team environment
Professional development and career growth opportunities