| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Mumbai City |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Engineering / Construction |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Role : Data Scientist Specialist/ExpertThe Data Scientist will be part of Global Digital Hub and will play a key role in enabling business for Data Driven Operations and Decision making in Agile and Product-centric IT environment.Responsibilities :- Work with Business / Domain SMEs, understand pain and opportunity areas and create analytical models to identify patterns and predict outcomes of key business processes- Identify the appropriate modelling technique and use Machine Learning and Deep Learning Algorithms to develop self-correcting models and algorithms, validate results from the business perspective and identify levers to improve outcomes- Collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions- Test hypothesis on raw datasets and build meaningful and conclusive insights to identify new opportunity areas- Work on all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models etc.- Design full stack ML solutions in a distributed computing environment including Cloud Platforms like AWS (preferred), GCP. If needed develop ML solutions to be deployed on the edge (like actuators in plants) or mobiles Your Profile :Education / Qualification :- BE / B. Tech in Computer Science, Engineering or relevant field- Graduate degree in Data Science or other quantitative field is preferred- Strong mathematics skills (e.g. statistics, algebra)- Certification in Cloud Analytics Platforms - AWS preferred followed by GCPExperience :- Total experience of 5-12 years- Industry Experience especially in Manufacturing Function in a Building Material Industry, Manufacturing, Process, Pharma or Automotive- Knowledge and experience in statistical and data mining techniques: Regression, Boosting, Text Mining, Social Media Analysis, etc. - 5+ years of experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc.- 5+ years of experience in experience in statistical computer languages (Python, R, Spark, etc.) to manipulate data and draw insights from large data sets- Hands on exp with Spark SQL/ Spark MLlib/Spark Streaming/Spark GraphX- 3+ years of experience in Big Data cloud platforms like AWS and GCP, Data Lakes, and Data Warehouses with specific experience of leveraging AWS / GCP and deploying AI / ML models on these platforms- Experience in DL frameworks such as, Keras, PyTorch or TensorFlow - Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks (e.g. Hadoop) will be an added advantage Key Personal Attributes :- Analytic and Research Oriented- Constructive and Collaborative Team Player- Innovative and Continuous Improvement Mind-set- Business focused, Customer & Service minded- Strong Consultative and Management skills- Good Communication and Interpersonal skills- Confident in advising, developing and articulating solution- Result oriented and with a work ethic of delivering on-time and in scope- Open to Change and Disruption and Attitude to challenge the Status Quo,
Keyskills :
machine learningpythondata analysissqlanalyticsbusiness intelligence toolscontinuous improvement facilitationbig datadata miningtext miningsocial mediadata science