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Senior Analyst / Data Scientist - Data Science @ Tiger Analytics

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 Senior Analyst / Data Scientist - Data Science

Job Description

Job Title: Senior Analyst / Data Scientist - Data Science


Curious about the role? What your typical day would look like?

As a Data Scientist, your role will involve

  • 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

What do we expect?

  • 4 -8 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.

Kindly share your updated CV to this Mail ID


ha*************t@ti***********s.com


Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Tiger Analytics
Location(s): Hyderabad

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Keyskills:   Data Science Classification Regression Predictive Modeling Xgboost Statistical Modeling Model Building Regression Modeling Machine Learning Python SQL

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