Data Analytics Expert

1 day ago

Hyderabad, Telangana, India Tiger Analytics Full time
Job Description

Tiger Analytics is a leading AI and analytics consulting firm with expertise in data-driven solutions. As a global company, our teams work across diverse industries to solve complex business problems.

About the Role:
  • Data Science Innovation: As a Data Scientist at Tiger Analytics, you will drive innovation through cutting-edge data analytics and machine learning applications. Your role involves translating complex business problems into sophisticated analytical structures, leveraging statistical and machine learning methodologies.
  • Problem Solving: You will apply technical skills in data manipulation, statistical modelling, and machine learning to solve real-world business problems. This requires a deep understanding of clients' business contexts and the ability to unravel intricate challenges and opportunities.
  • Client Engagement: Establish strong relationships with clients, working closely to understand their business needs and develop tailored solutions.
  • Algorithmic Expertise: Develop and refine algorithms and models to create powerful tools for addressing complex 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, to meet deadlines and deliver Analytical Solutions.
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.
  • Proficiency in Python programming, with a focus on crafting modular, scalable, and bug-free code.
  • Comfortable in SQL, with additional proficiency in office tools like Excel and 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.
Compensation Package:

We offer an attractive compensation package among the best in the industry, commensurate with expertise and experience.

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