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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSparkSQLTableauTensorflow
About the role
Key responsibilities & impact- Design, develop, and deploy machine learning and predictive analytics models.
- Analyze large and complex datasets to identify trends, insights, and business opportunities.
- Build scalable data science solutions and optimize model performance.
- Collaborate with data engineering and business teams to define project requirements and deliver analytical solutions.
- Develop data pipelines, feature engineering processes, and model evaluation frameworks.
- Implement AI/ML algorithms for forecasting, classification, recommendation, and automation use cases.
- Present analytical findings and recommendations to technical and non-technical stakeholders.
- Ensure data quality, governance, and compliance standards are maintained.
- Mentor junior data scientists and support best practices across the team.
- Stay updated with emerging technologies and advancements in Data Science and AI.
Requirements
What you’ll need- 10+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
- Strong expertise in Python, R, SQL, and statistical analysis.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with cloud platforms such as Amazon AWS, Microsoft Azure, or Google GCP.
- Experience with big data and analytics platforms such as Databricks Databricks, Snowflake Snowflake, or Spark.
- Strong understanding of statistical modeling, NLP, forecasting, and predictive analytics.
- Experience with data visualization tools like Power BI, Tableau, or Looker.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently in a remote environment.
Benefits
Comp & perks- Competitive compensation package
- Opportunities for professional development and career advancement.
- Flexible working conditions, with remote options available.
- Dynamic and supportive work environment.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningpredictive analyticsdata analysisdata pipelinesfeature engineeringmodel evaluationstatistical analysisnatural language processingforecastingdata visualization
Soft Skills
analytical skillsproblem-solvingcommunicationmentoringcollaborationindependence