Senior Analyst / Data Scientist - Data Science
- Tiger Analytics
- 4 - 9 years
- Hyderabad
- 2 months ago
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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 & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Tiger AnalyticsLocation(s): Hyderabad
Keyskills: Data Science Classification Regression Predictive Modeling Xgboost Statistical Modeling Model Building Regression Modeling Machine Learning Python SQL
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