We are looking for a Senior Data Scientist for one of our clients. Your job scope is as follows:
You will be responsible for
- Deriving insights from data using descriptive statistics, predictive analytics, and machine learning methods
- Supporting data-driven decisions when working directly with Product, Engineering, and Business stakeholders
- Developing AI and ML solutions to tackle business challenges and enhance efficiency through process automations
- Producing and presenting in-depth analytics reports
- Working with non-technical users and developing our data maturity For you to be successful
Impactful
- Proactive in identifying what needs to be done, and taking action, before being asked, or before the situation escalates
- Identifies, resolves problems, and removes obstacles that could hinder projects success & progress
Curious
- Engages in learning activities and is interested in understanding different ways of doing things including the key activities performed by others in the team
- Keeps up to date on relevant frameworks, applications, software, and/or tools
Collaborative
- Partners with a range of people to create trust and co-create and deliver mutually beneficial outcomes
- Resolves disputes using a range of tactics to prioritize positive outcomes
- Collaborates in a thoughtful manner and values others unique contributions
Communication
- Communicates clearly and actively listens to others
- Communication is specific and fact based using a style appropriate for the audience
- Concise in communicating and references relevant information tailored to the audience to support points
- Literacy Digital, Technology and Data
- Proficient in navigating and using digital, data and technology tools and software applications relevant to role including performing basic trouble shooting strategies
- Uses appropriate data, technology, and digital solutions to communicate, solve problems, and access, manage, integrate, evaluate, and create information
- Able to understand, interpret, analyse, and communicate data and applies these skills to derive insights and performance
Adaptable
- Demonstrates flexibility in adapting to changing situations, tools and priorities
- Quickly learns and applies new tools, technologies and processes as needed.
Qualifications and Skills
- 5+ years in an analytical position. Coding experience required
- Degree in Mathematics, Statistics, Data Science or similar required
- Proven experience handling end-to-end data science projects starting from problem understanding, data cleaning and analysis, modelling, testing and (ideally) deployment
- Advanced knowledge of Python, SQL and Excel. R and JavaScript knowledge is nice to have
- Experience with typical data science packages: numpy, pandas, matplotlib/seaborn, scikit-learn, scipy, statsmodels, and TensorFlow/Pytorch
- Experience in NLP and Computer Vision nice to have
- Knowledge of MLOps principles and tools: cloud technologies, version control, and microservices
- Excellent analytical and problem-solving skills
- Ability to contribute both independently and as part of a team
- Excellent listening, communication, interpersonal and presentation skills