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The Role
Provides advanced analytics and machine learning support by translating business questions into quantitative problems, selecting appropriate models, prototyping scalable solutions, and implementing production analytics capabilities. The role also advises business partners, develops data modeling and algorithm capabilities, and promotes data-driven decision-making. Requirements include strong Python proficiency, experience with large-scale data, big data tools, SQL and NoSQL, machine learning libraries, and data visualization.
Summary Generated by Built In
- Provide advanced analytics support and advise on appropriate analytical models based on available data, technology and platform
- Translate unstructured business questions into quantitative problems
- Prototyping advance analytics and machine learning solutions for business partners
- Make intelligent approximations to the model if required to make it scalable and operational
- Anticipate needs and lead implementation of capabilities such as data modelling, algorithms, new technology & partners
- Recommend and implement the development path of capabilities and skillsets to foster a culture of applying data & insight driven culture in decision making
Requirements
- Bachelor’s degree in Computer Science, Engineering, Econometrics, Mathematics, Operation Research, Statistics or related disciplines
- At least 2 years of working experience in data science with proven track record of leveraging large amount of data to drive significant business impact
- Advanced analytical skills, experience in recommending appropriate algorithm and methodology for problem-solving and decision making, leveraging both logic and creativity
- Experience in prototyping and productional advance analytics solutions in business
- Must be proficient in Python. Knowledge of Java, Scala and C++ is a plus
- Experience in it big data tools (e.g. Hadoop, Spark), as well as query languages for SQL and NoSQL
- Familiar with machine learning algorithm and libraries (e.g. scikit-learn, XGBoost, LGBM, TensorFlow etc.)
- Proficiency in data visualization tools, ideally Tableau
Skills Required
- Bachelor's degree in Computer Science, Engineering, Econometrics, Mathematics, Operations Research, Statistics, or a related discipline
- At least 2 years of data science work experience
- Proven track record leveraging large amounts of data to drive significant business impact
- Advanced analytical skills and experience recommending algorithms and methodologies for problem-solving and decision-making
- Experience prototyping and producing advanced analytics solutions in a business environment
- Proficiency in Python
- Experience with big data tools such as Hadoop and Spark
- Experience with SQL and NoSQL query languages
- Familiarity with machine learning algorithms and libraries such as scikit-learn, XGBoost, LightGBM, and TensorFlow
- Proficiency in data visualization tools, ideally Tableau
- Knowledge of Java, Scala, and C++
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The Company
What We Do
Teki'Spire Limited is an executive search and recruitment firm specializing in Technology, Data & Digital roles, covering functions such as Digital, Big Data, Business Intelligence, Application Development, and Project Management.
