Understanding data analytics methodology, machine learning and deep learning.
Understanding business objectives and developing data science solutions that help to achieve business goals, along with metrics to track their progress.
Help product managers and business stakeholders understand the potential, limitations and results of data science.
To conceptualize, prototype, design, develop and implement large scale data science solutions on premises or in the cloud.
Utilizes internal and external data to generate features, derive insight, visualize pattern, and support impactful decision-making.
Develop and implement advanced analytics use cases with machine learning, graph database, search engine, geographical information system and artificial intelligence to yield business value from data.
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 machine learning and artificial intelligence, applying modern explainable methods to measure their fairness.
Skills & Qualifications
Bachelor’s degree in Computer Science and Information Technology holder with minimum CGPA of 3.0 or its equivalent.
At least 1 year hands-on data mining or data science experience.
Proficiency with SQL for querying and managing data in relational databases.
Proficiency with Python-based libraries for data science such as scikit-learn, numpy, scipy, pandas, statsmodel, matplotlib, tensorflow or pytorch.
Knowledge of other coding languages such as Shell Script and Java.
Excellent team-oriented and interpersonal skills.
Strong interest for creative problem solving.
Good communication skills with the ability to clearly articulate findings and present solutions.
Less than 1 year working experience.
1 Year Fixed Term Contract and subject to conversion to permanent position.
Publications in major ML/NLP conferences or journal.
Participation in Kaggle or similar competitions.
Participation in Hackathon event(s).
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Experience with natural language processing, image processing, graph analysis or GIS.
Experience with scalable framework, such as Dask, Ray, CUDA or Spark.
Experience with real-time processing framework, such as Kafka.
Experience with cloud-based environments such as AWS, GCP or Azure.
Minimum Working Experience
Field of Study
Computer Science/Information Technology
1 Year Fixed Term Contract.
Able to start work on mid November/ early December 2020 if shortlisted.
E-mail your C.V now to firstname.lastname@example.org with the Subject of Application for ISD Apprentice – Data Science
Note: Only shortlisted candidates will be contacted.
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