Senior Data Scientist
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Job Description
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Job Description
The team member will be a part of the Artificial Intelligence and Machine Learning, Algorithmic Decision-Making Team (AIML - ADM) and will be working in a fast-paced environment. They will be enabling clients to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms. Data Scientists in the AIML-ADM team should have the capability to work on independent statistical and machine learning research/ projects.
Responsibilities
REQUIRED QUALIFICATIONS:
Not the right fit Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
We're committed to bringing passion and customer focus to the business.
Job Description
The team member will be a part of the Artificial Intelligence and Machine Learning, Algorithmic Decision-Making Team (AIML - ADM) and will be working in a fast-paced environment. They will be enabling clients to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms. Data Scientists in the AIML-ADM team should have the capability to work on independent statistical and machine learning research/ projects.
Responsibilities
- Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership.
- Team management and strong stakeholder management skills
- Leadership skills to manage a span of Data Scientists
- Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions.
- Fast learner: ability to learn and pick up a new language/tool/ platform quickly.
- Conceptualize, design, and deliver high-quality solutions and insightful analysis.
- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems.
- Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.
- Ability to deliver AIML based solutions around a host of domains and problems, with some of them being Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization
REQUIRED QUALIFICATIONS:
- 5.6-11 years in core Data Science & Machine Learning projects
- Expert level proficiency in at least one of R and Python.
- Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms.
- Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.
Not the right fit Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
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Key Skills
About Company
Skills:
Ml, BigQuery, Sql, Tensorflow, Git, Hive, MLops, Pytorch, Docker, Spark, Kubernetes, Python, LangChain, GenAI, feature stores, LLMOps, Ai, Monitoring, LangGraph, model registries, drift detection
Skills:
Amazon Web Services, Tensorflow, Python, Java, Hibernate, Hadoop, Big Data, Spring, Jenkins, DataBricks, Git, Azure Data Factory, Hive, Pytorch, Spark, Keras, Machine Learning, Azure, Deep Learning, MLLib, HDInsight, Map-Reduce, HDFS
Skills:
visualisation , Pyspark, C++, Sql, Databricks, Python, Big data systems, Control Systems, Machine learning models, Analytics, Embedded Systems, Deep learning algorithms
Skills:
Pyspark, Algorithms, Nlp, Azure Functions, Docker, Databricks, Azure Machine Learning, Python, GenAI, AKS, Azure Services, Applied Statistics, Azure AI Search, Retrieval Augmented Generation, Large Language Models, Azure Kubernetes Service
Skills:
Azure Data Factory, Azure Databricks, Statistical modeling for access risk analysis, SQL and NoSQL database management, Implementation of security and compliance controls in Azure, Microsoft Azure Active Directory administration, Microsoft Azure Privileged Identity Management PIM, Power BI or similar data visualization tools, Python or R for data analysis and automation, REST APIs and integration with external data sources, Cloud governance and policy management, Azure Sentinel or other SIEM platforms, Certification in advanced Azure security solutions, Automation tools such as Terraform or Azure ARM templates, Machine learning algorithms for security threat detection