Data Scientist - 5 To 12 Yrs - Bangalore

Data Scientist - 5 To 12 Yrs - Bangalore

Bengaluru / Bangalore
5 - 10 Years
Not Specified

Job Description


Greeting from Black and White Business solutions Pvt Ltd
We are having an opportunity with one of a our MNC Product Based Company
Please find the attached below Job Description for data Scientist
A Senior or a Lead Data Scientist is someone who can obtain, explore and model data by blending math, algorithms and a scientific mindset to support and automate decision making across the business. In this job,
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Lifecycle and execute end-to-end Data Science Projects
- Work end-to-end on Data Science developments, contributing to all aspects of the project lifecycle
- Understand difficult business problems and prototype solutions
- Analyze and link complex datasets so that they may be learned from or optimized
- Scientifically analyze and evaluate the effectiveness of different approaches to guide future development and track the value created by the team
- Build mathematical models on top of big data architectures to gain deep insights into opportunities to improve the customer experience and the Tesco business
- Partner with technology teams to productionize developments
- Communicate complex solutions in a clear, understandable way to non-experts
- Promote data science across Tesco, and promote Tesco across the external Data Science community Behaviors
- Have excellent written and verbal communication skills and clearly articulate your ideas.
- Learn new areas/disciplines quickly.
- Are a team player and work collaboratively with other members of the team.
- Seek help and guidance when appropriate.
- Are self-organized and can plan your work in line with the team plan and priorities.
- Take an active part in the Data Science community building and knowledge sharing with peers.
- Demonstrate empathy and listening skills to understand the needs of your stakeholders and customers and strong persuasion skills to influence others.
- Encourage collaboration and communication between teams.
- Keep up-to-date with data trends and developments, showing a strong interest and commitment to Tesco, your work and Data Science
- Have great presentation skills and can present your ideas/ thoughts/plans with clarity and confidence.
- Demonstrate ownership, responsiveness and commitment towards your work.
- Demonstrate strong, data-based decision-making skills, especially when multiple trade-offs are involved, and fast decision-making is required.
- Have great coaching skills and mentor junior colleagues and peers in your team.
- Confidently and competently represent the team when needed.
- Collaborate with external suppliers and solution providers.
- Use the Tesco leadership skills to encourage and get the best out of the people you work with.
- Customer, Commercial & Critical Thinking
- Have an analytical thought process and ability to process complex information.
- Understand key user personas, customers and stakeholders for your project and their pain points really well.
- Keep customers as focus of analysis, insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses, and driving experiments
- Understand the commercial impact of your recommendations and insight
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Functional (e.g.quantitative techniques)
- Contribute to all aspects of the Data Science project lifecycle
- Understand and monitor data quality to improve confidence in the data used for analysis
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile, integrate, and analyze data from multiple sources to identify trends, expose new opportunities, and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions, issues, and opportunities
- Build, validate and manage advanced models (e.g. explanatory, predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize, formulate, prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
- Skilled at managing, processing and optimizing performance and reliability of automated data streams and analytical workflows
- Domain
- Have an advanced knowledge level of the Data Science Toolbox
- Are familiar with configuring Data Science analytics environments (technology, software etc)
- Understanding of ETL principles (Data munging, joins etc)
- Are familiar with using Hadoop / Big Data environments and common Data Science toolkits
Skills Required: Python, Scala, Data Structures and Algorithms
if you are interested please help me with your updated resume [HIDDEN TEXT] along with your ctc details to above email address feel free to write a email for any queries

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