Data Science Manager
5 months ago
**Role Purpose**:
Boost business's ability to make data-driven decisions. Data Science Manager is responsible for leveraging data science and machine learning capabilities for internal business stakeholders. You will also provide technical expertise to colleagues and data scientists team members. Develops key predictive models and products and manages team of Data Scientists to deliver local demand use cases. Engages with senior stakeholders across the business to advise and solve complex problems.
**Key Accountabilities and Decision Ownership**:
- Establishes, leads, and mentors a team of Data Scientists.
- Identifying business opportunities to make a commercial difference.
- Leads the development of analytics initiatives to meet business requirements.
- Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualizing results, to create understanding and solution buy-in.
- Recognized as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms, and data sources.
- Works closely with Technology teams to design, build, test, deploy, maintain, and improve technology solutions and models.
- Identifies new analytics trends and opportunities to drive the innovation agenda across business functions & Advanced Analytics.
- Spread Design Thinking and Agile methodologies.
**Core Competencies, Knowledge, and Experience**:
- Passionate about working with huge data sets.
- Deep expertise in creation and management of datasets.
- Detail-oriented and must have an aptitude for solving unstructured problems.
- Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization.
- Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, R, SAS, SciPy, Tableau, GIS)
- Deep and broad statistical modelling expertise in various domains
- Ability to work cross functional teams to translate business issues into potential analytics solutions.
- Excellent analytical & Presentation skills.
- Ability to work in multitasks under pressure.
- Excellent command of English
**Must have technical / professional qualifications**:
- Master’s or PhD (or equivalent) in quantitative fields like Mathematics, Statistics, Economics, Computer Science or Engineering
- Minimum of 10 years of relevant experience with a focus on advanced analytics and predictive modelling.
- Proficient in statistical packages, ML libraries and deep learning libraries (e.g. R, Python SciPy and NLTK, Spark MLlib, keras, pytorch,..)
- Familiar with leading visualization tools (e.g. Tableau, Spotfire)
- Familiar with implementing data transformations and algorithms in common programming languages.
- Strong communication skills with prior experience communicating analytics results to senior management.
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