Data Scientist

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, conceptualizing 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 fervor 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 organization.
• 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.

Kindly share your updated resume to this Mail ID

hari.chandana@tigeranalytics.com

Regards,

Hari Chandana