SG Analytics
Bangalore
Consulting
Data Analytics
Bangalore
JOB DESCRIPTION
SGA’s Data Analytics (DA) team requires a self-learning Data scientist to solve complex data science problems for our global clients.
Our team of 60+ Data Engineers + Data scientists already use multiple available open-source and licensed tools in the market to solve complex problems and drive business decisions.
What you will be doing?
You will be integral part of a cross-disciplinary team, work closely with other data engineers, software engineers, data scientists, data managers and business partners.
- Lead and take part in end-to-end ML projects deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions.
- Interact with business experts to optimize scope of AI/ML models in discussion basis the businesss problem
- Have a good understanding of software development lifecycle.
- Solve complex business problems like creating a recommender system, modelling customer sentiment & customer life-cycle, spare parts inventory optimization, spare parts pricing, warranty, After market channel effectiveness etc.
- Quickly experiment and select right ML algorithm and scale with more advanced deep learning techniques
- You will have to push the state of the art application in terms of data mining, visualization, predictive modelling, statistics, trend analysis, and other data analysis techniques to solve above mentioned business problems
- Write production ready code and deploy real time ML models; expose ML outputs through APIs.
- Hypothesis testing and set up design of experiments to analyze and monitor results
- Automate data pipes development and ML models
Qualification:
- Over 3-5 years of Applied Machine learning experience in the fields of Machine Learning, Recommender Systems, Statistical Modelling, Predictive Modelling
- B. Tech / M. Tech in computer science or any quantitative discipline from premier institutes across India.
OR
- Master’s in computer sciences, Mathematics, Business Administration or Statistics from a reputed college
- Applied experience with Machine Learning on Large Datasets.
JOB REQUIREMENT
What you should have –
- Expertise to quickly experiment and select right ML algorithm with ability to scale with more advanced deep learning techniques
- Experience in dealing of veracity of data (structured, unstructured)
- Proficiency in work with open source deep learning libraries like TensorFlow, Keras, Pytorch
- End-to-end hands on experience in data gathering, preparation, feature engineering, model building, validation, and productionizing at scale.
- Expert python programmer: SQL, extremely proficient with the SciPy stack (e.g. NumPy, pandas, scikit learn, matplotlib);
- Knowledge of the Big Data Ecosystem: (Apache Spark, Hadoop, Hive, EMR, Map)
- Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow)
- Holding routine peer code review of ML work done by the team.
- Ability to articulate ideas, actionable insights and thoughts to wide variety of audience (Senior Business Executives)
- Having a significant research expertise/accomplishment, theoretical depth and business experience in the e-commerce, customer analytics and marketing areas would be a plus.
- Track record of mentoring junior data scientists and proven experience in collaborative work environments with external customers
- Experienced in ML lifecycle management and ML Ops tools & frameworks.
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