Key Responsibilities

You will be working with client relationship managers, product owners and developers to generate understanding, strategy and suggest actions based on data. You will be a blend of data hacker, business analyst, coder, communicator and guide to translate terabytes of data into customer insights or usable solutions.

- Pro-actively identify opportunities for application of analytics in the organization

- Understand organization's analytical needs and convert business problems to analytical problems

- Take full ownership of your work, from the initial idea-generation phase to the implementation of the final product to its maintenance and improvement - Execute/deliver projects independently

- Transform large complex datasets from various sources (transactional, digital, logs, campaigns)

- Give pragmatic, actionable business / consumer insights in a well-presented manner

- Work with cutting edge tools like GreenPlum, R, Python etc. and arrive at the best approach to solve challenging problems

- Hands-on coding, data manipulation, integration plus deployment to production systems

- Create marketing plans or campaign ideas and derive ideal target groups for campaigns based on various call to actions

- Develop and automate Business Intelligence frameworks

- Develop new algorithms for predicting or influencing consumer behavior prediction (eg: next purchase, attrition etc.) - Build, validate and deploy into production

- Create client-ready decks for final deliverables and present the same if needed

- Develop and deploy solutions / algorithms for data quality monitoring and data enrichment

- Mastering the fast evolving data structure and infrastructure; Understanding constraints and troubleshooting to arrive at workarounds when required

- Work on end-to-end data management including database design, data update processes, data pipeline set-up and enriching data quality

- Understand and experiment with different statistical and machine learning algorithms and apply them for business problems

- Challenge ideas and methods while working together with talented, highly skilled team members.

- Independently define & solve problems, research & development, self-learning and skill development

- Interview for recruitment and guide other members in the department

Candidate Profile

Experience:

- 2 to 5 years of experience in data science or analytics with significant exposure to data mining and working on end to end projects through structured problem solving

- Should have done hands-on work on data wrangling, analytical projects and its presentation

- Hands-on expertise with advanced Excel. Hands-on knowledge of Tableau / Metabase is a plus

- Hands-on expertise in data manipulation, e.g. through SQL, Python, Java/Scala or R

- Should have expertise in multiple programming languages (Eg: Python, R, C++, Java). Prior experience in big-data technology like Hadoop, Spark etc. is a plus

- Hands-on experience with any one scripting tool, (e.g. Python, bash/batch scripting)

- Prior usage and knowledge of any machine learning framework (Eg. Scikit-learn, XGBoost etc.) is a must. Exposure to statistical techniques is a plus

Skillset:

- Strong analytical skills and good aptitude in programming and logical reasoning. Should be able to structure problems through logical thinking from first principles and interpret data meaningfully

- Proficiency in data manipulation with at least one tool is a must. SQL expertise is preferred here

- Must be able to adapt to a fast-changing technological environment and learn new tools quickly. Should be able to experiment with various tools and techniques

- Deep understanding of statistical and machine learning algorithms with the ability to tweak them for performance and accuracy if required. Understanding of algorithmic foundations of optimization and distributed computing is a plus

- Expertise in data mining and data wrangling. Good knowledge of data structures and data management is a plus

- Ability to identify and implement and improve the right models and techniques as per business needs and design, implement production-ready solutions. Prior experience in productionizing data science solutions is preferred

- Strong sense of ownership and commitment to assigned projects. Should be detail-oriented and complete work independently within timelines; Create client-ready / production-ready deliverables

- Should be efficient and effective communicator. Should be able to co-ordinate with multiple stakeholders and convey complex analysis results clearly with conviction to them. Should be able to learn from and teach others in the department. Good presentation skills is a plus

- Strong sense of initiative with a go-getter attitude - ideate and experiment to identify areas with potential for improvement and come up with recommendations or solutions at work

Qualification:

- B.Tech/BE/B.S from a premier institute OR

- Masters in Mathematics / Data Science / Analytics or related field from a premier institute

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