Location
Secunderabad | India
Job description
We are looking for highly motivated and enthusiastic individuals looking to build a career in the field of data science and analytics, to be a part of the data science team and work with amazing peer group that truly values data-driven decisions. DnA Hyderabad will deliver data driven decisions across all critical business functions such as customer engagement, distribution, underwriting, claims operations, risk management, products and tackle hard, open-ended problems.
The position is required to deliver on data science projects under the guidance of Data Scientists and Sr. Data Scientists. Superior problem-solving ability, curiosity, strong coding mindset and attention to detail are the key success factors. Associate Data Scientists are the future of our Data and Analytics Community. We are looking for the smartest folks with insatiable curiosity
Job Responsibilities:
- Work with Senior Data Scientists and Data Scientists to understand the business problem and work with them to design effective solutions
- Develop appropriate moderate to advanced level statistical and ML algorithms, test the quality and iterate till desired results are obtained
- Works independently on intermediate level data preparation, modeling, evaluation, and deployment
- tasks, with supervision on advanced level tasks
- Test development/deployment code to ensure smooth & accurate Productionisation of ML models
- Extract analytical insights and translate them to business insights; validate the insights with Manager and continuously improve upon interpretation skills.
- Work with the Sr. Data Scientist/Manager to present the insights and recommendations to stakeholders & create intuitive and detailed documentation as appropriate.
- Ensure coding as well as overall development best practices are implemented
- Contribute to collaboration and awareness in the global data and analytics community
Knowledge, Skills and Abilities
- BS/MS in Math, Statistics, Operations Research, social sciences, or related quantitative field
- Up to 3 years of work experience in the field of data and analytics
- Hands on knowledge of programming languages like R, Python, and
- database query languages like SQL
- Machine Learning - Good knowledge of machine learning methods and knowledge on statistical models like regression is an added advantage
- Moderate Knowledge of various data structures and open-source data products/technologies for development/deployment of ML models
- Proven ability in logical thinking and problem solving
- Proven ability to work in teams to deliver results
- Good written and oral communication, with the ability to communicate effectively with stakeholders
- Conceptual knowledge of Big Data technologies like Hadoop (Spark, Hive, Pig) is a plus
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