Job Location: Bangalore/Bengaluru
Roles and Responsibilities
A day in the Life of Data Scientist at Brillio, you will:
- Partner closely with project managers to deconstruct business problems of the client, develop data models and algorithms that deliver meaningful insights
- Take ownership of whole end-to-end predictive modeling projects – from data processing, training, optimization to real-time monitoring and maintenance
- Develop solutions to data driven problems, and communicate relevant insights to stakeholders through storyboards/presentations
- Stay abreast with current technical and industry development and constantly strive to devise innovative statistical models for data analysis
- Actively participate in external forums and industry conclaves
For you to be successful, you must:
- Create value by meeting needs of stakeholders and delivering high-quality results
- Open and flexible to accommodate and implement new ideas, understand business complexities, nurture innovation and challenge the status quo persistently
- Strive to be subject matter expert in chosen area of specialty through continuous learning
- Have an eye for detail to ensure accurate conclusions in data analysis and presentations
Disseminate knowledge and share own experiential learning with others
You’ll bring this to the table:
- Critical Thinking: ability to work in ambiguous situations with unstructured problems
- Strong analytical skills with the ability to collect, organize, review significant amounts of information
- Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets.
- Working knowledge in basic statistical concepts such as properties of distributions, statistical tests and their proper usage
- Expertise in some of the advanced machine learning techniques such as Clustering, Regression/Classification, Time Series Analysis, Network Analysis, Popular Deep Learning architectures and theory, simulation, scenario analysis
- Clear, professional written and verbal communication skills, ability to easily communicate complex ideas
- Experience with any distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, etc.
- Experience with machine learning on cloud (AWS/Azure/GCP).
Note– **Should be proficient in Python
It would be exceptional, if you also have this:
- Expertise in Image, Video, Speech, Sound, Text domain
- Working knowledge of concepts and application of Design of Experiments
- Depth across areas within the domain or industry
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