Data Science Lead

• Company U Mobile
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Life at U Mobile

We are Passionate, Innovative, Trustworthy, Team-Oriented & Fun-Loving.

At U Mobile, we are always on the lookout for great talents and passionate individuals to join our growing team.

Let’s start your journey with an award-winning organization!

#UnlimitingYourPotential

Top Reasons To Join Us

• Awarded as one of the Most Preferred Graduate Employers (2022) & Gold Winner for Excellence in Workplace Culture (2021)

• Comprehensive medical, dental, optical and insurance benefits

• Flexi working hours arrangements

• Staff Line & Device Subsidy

• Smart Casual Attire

• Child Parental Leave

• Convenient location with access to public transport (Imbi Monorail/Bukit Bintang MRT)

• Special employee discounts for selected F&B Brands and Hotels

The Day-To-Day Activities

• Subject matter expert of advanced analytics methodology and machine learning algorithm.
• Understanding business objectives and developing data science solutions that help to achieve business goals, along with metrics to track their progress.
• Help stakeholders understand the potential, limitations and results of data product.
• To prototype, design, develop and implement large-scale big data science solutions.
• Develop and implement advanced analytics use cases with statistical and machine learning, graph theory, GIS and NLP to yield business value from data.
• Utilizes internal and external data to generate features, derive insight, visualize pattern, and support impactful decision-making.
• Implement predictive modeling, multivariate analysis, research design, association rules, time series analysis, survival analysis, forecasting and optimization techniques to formulate and solve data analysis problems.
• Understanding the challenges of explainable algorithms, applying modern explainable methods to measure their fairness.
• Managing available resources so that milestones are met.

About You

• At least 5 years hands-on data science experience working on real business problems, more years' experience preferred.
• Proficiency with Python-based libraries for data science such as scikit-learn, numpy, scipy, pandas, statsmodels, matplotlib, and seabon.
• Proficiency with SQL and NoSQL.
• Knowledge of distributed systems and stream processing.
• Knowledge of other coding languages such as Shell Script and Java.
• Excellent team-oriented and interpersonal skills, with a strong interest in creative problem-solving.
• Good communication skills with the ability to clearly articulate findings and present solutions.
• Read and understand the scientific papers.

Skills:

• Familiarity with Cloud-based environments such as AWS, GCP or Azure.
• Familiarity with on-premises big data environments such as Cloudera, Hortonworks or MapR.
• Experience with a scalable framework, such as Dask, Ray, CUDA or Spark.
• Experience with real-time processing framework, such as Kafka.
• Experience building artificial intelligence models in frameworks such as Keras, TensorFlow or PyTorch.