We are seeking a seasoned Data Science Consultant to support and sustain our
client’s Americas / Latin America work, specifically for the Data Science
Team. In this role, you will leverage various advanced analytics capabilities
and toolsets to deliver key advanced analytics/data science projects.
**The Role**
* Support and sustain the LATAM work using big analytics toolsets in a CI/CD environment
* Collaborate with data engineers and ML engineers to understand data and models
* Use big data technologies to help process data and build scaled data pipelines, from batch to real-time
* Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines leveraging the NGAA platform (Azure)
* Manage cloud alerts, monitors, dashboards, and troubleshoot machine learning infrastructure
* Maintain the forecasting accuracy of the implemented solution and continually improve the forecast
* Perform root cause analysis of demand issues and suggest solutions / experimentation approach
* Ensure prompt and open communication with the Business team & team members at other locations
**The Person**
* Minimum of 8 years of overall experience, including at least 5 years of hands-on work in data science/Machine learning
* Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers (Azure preferred)
* BE/BS degree in Computer Science, Math, Physics, or other technical fields
* Solid understanding of Demand Planning and management activities, Forecast adjustments based on seasonality, promotions, discounts and all different entities & processes based on which current forecasting is done
* Experience in building machine learning models, both supervised and unsupervised
* Proficiency in statistical programming languages like Python, R and database query languages like SQL
* Knowledge of statistical tests, distributions, regression, maximum likelihood estimators
* Experience in Databricks and ADF is desirable
* Familiarity with Spark, Hive, Pig is an added advantage
* Experience with version control systems like GitHub and CI/CD tools
* Experience in Exploratory data Analysis
* Knowledge of ML Ops / DevOps and deploying ML models is required
* Experience using MLFlow, Kubeflow etc. will be preferred
* Exceptional analytical and problem-solving skills
tlnt focuses on Mobile, Enterprise Software, Healthcare, Financial Services,
and Clean Technology. Their company has offices in Australia, Brazil, Canada,
Dubai, and India. They have a small team that's between 1-10 employees.
You can view their website at <https://tlnthq.com>
