Key skills
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