- Data Management & Analysis
- Build required statistical models and heuristics to predict, optimize, and guide various aspects of our business based on available data
- Design, implement, and iterate through statistical experiments to incrementally maximize site margin while minimizing risk
- Extract and consume data to analyze and produce robust advanced analytics models / outcomes
- Conduct business due-diligence activities to identify analytics led opportunities for transforming business
- Technical Skills
- Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Cluster Analysis
- Experience in some of these applications: Collaborative Filtering, Personalization, Consumer Segmentation, NLP, Text Analytics, Information Retrieval, Search Relevance.
- Solid data management and statistical modeling skills: R, Python (SciPy, NumPy), SQL and Excel
- Familiarity with time-series analysis and implications on how to model and test
- Experience with Big Data. Distributed computing (e.g. map/reduce) is a plus, especially Hadoop, Mahout, Pig, Hive.
- Education
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
- Experience
- 8+ years in data analytics or data science roles.
- Proven track record of delivering insights through SQL and advanced analytics.
- Ability to work in a fast-paced and deadline driven environment.
- Good project management skills
- Strong communication and problem-solving skills.
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Analytics Manager - Pasig - Tech Mahindra
Paglalarawan
We're Hiring: Data Scientist/Analytics Manager
Work Where People Matter
At Tech Mahindra Philippines, we're more than just a BPO — we're a Certified Great Place to Work where your growth and well-being come first. With thriving hubs in Cebu and Manila, we're helping people like you build meaningful careers while making a real difference for customers around the world.
Why You'll Love It Here
· Growth you can see – promotions and career paths await
· Learning that sticks – trainings to sharpen your skills
· A workplace that cares – inclusive, supportive, and people-first
· Health coverage you can count on
· Rewards when you refer friends to join the team
Your Day-to-Day
What We're Looking For
Preferred Qualifications
Work Setup
Location: Ortigas, Pasig City (Onsite)
Shift: Dayshift, Monday-Friday
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