Senior Data Scientist
- Posted 9 days ago
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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:
Prometheus, Elk Stack, Grafana, Tensorflow, Pytorch, Docker, XGBoost, Python, Azure DevOps, Bash, Shell Scripting, Sql, Git, Pandas, Spark, Databricks, Helm, Kubernetes, Airflow, CI/CD tools, Feature Engineering, ML Model Development, GitHub Actions, Scikit-learn, Model versioning, Infrastructure-as-code tools, Feature Stores
Skills:
Python, Sql, Pytorch, Time Series Analysis, Tensorflow, Pandas, Numpy, Machine Learning, scikit-learn, Statistics, probabilistic forecasting, statsmodels
Skills:
model selection , Nlp, Pyspark, Neural Networks, Python, Machine Learning, Google Cloud Platform, Classification, Data Text Mining, Big Data Platforms, Finetuning, Multi-modal Models, GPU/CPU Based Online Inferencing, LLM Gateways, Deep Neural Networks, Event Driven Architecture, Vector Databases, Optimization Methods, Embedding Generation, Model Deployment, Bayesian Models, Retrieval Augmented Generation, Prompt Engineering, Deep Learning Algorithms
Skills:
Azure Machine Learning, Databricks, Algorithms, Pyspark, Azure Functions, Python, Docker, Nlp, AKS, Large Language Models, GenAI, Azure Kubernetes Service, Retrieval Augmented Generation, Azure AI Search, Applied Statistics, Azure Services
Skills:
Ms Azure, Java, Spring, Tensorflow, Hadoop, Clustering, Hive, Machine Learning Algorithms, Big Data, Git, Predictive Analytics, Keras, Data Mining, Azure Data Factory, Amazon Web Services, Hibernate, Python, Jenkins, Pytorch, Spark, DataBricks, multivariate testing, HDInsight, HDFS, Deep Neural Networks, Classification, Map-Reduce, Regression, Statistical Modeling, MLLib