Hiring alert: Tiger Analytics is hiring for the below positions:
Data Scientist: 4 - 7 Years
Location: Chennai, Bangalore, Hyderabad
About the role :
As a Data Scientist, you will be at the forefront of driving innovation through cutting-edge data analytics and machine learning applications across diverse industries. On a typical day, immerse yourself in the following:
Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
Problem Solving: While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
Client Engagement: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.
Algorithmic Expertise: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
Quantitative Mastery: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life.
Desired Skills and Experience :
4 -7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
Good communication skills, both verbal and written.
Exhibit a fervour for crafting modular, scalable, and bug-free Python code.
Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint.
Experience in production engineering best practices (e.g. Git versioning, Docker).
Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)
Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
Excitement to collaborate with diverse stakeholders across the organisation.
In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.
Hunger to learn new technologies and embrace the change.
Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.
Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.
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