该职位来源于猎聘 We are looking for a highly motivated Data Scientist to lead our growing Analytics & Data Science team in our Shanghai Office. You will take part in missions for Mazars various clients in view to support them on huge analytical projects and issues. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our data engineering team to develop top-of-the-line data pipelines. Job Responsibility & Accountability: The role of a Manager within Mazars has three specific areas of focus: Business Development
- Building strong and lasting client relationships through excellent interpersonal skills
- Working with Senior Management and Leadership to develop compelling propositions which target relevant client issues
- Identifying project opportunities and leading the development of proposals and closing
- Taking an active role in managing initiatives to appropriately market Lighthouse solutions Client service
- Deliver high quality advisory and/or technical services to our clients
- Planning and overseeing the delivery of engagements or projects, including responsibility for the review and quality assurance of deliverable.
- Building lasting relationships with key client stakeholders
- Identifying and managing risks whilst maximising profitability and ensuring the Firm's frameworks are implemented appropriately and effectively
Production
- Developing and building business solutions by either working as a subject-matter expertise
- Supporting key training and sharing knowledge within team
- Developing thought leadership in area of expertise
- Ability to understand business goals and translate them into Machine Learning use cases and model design
- Performing exploratory data analysis to understand relationships, opportunities to influence outcomes
- Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
- Being able to interpret the models that are being generated
- Working closely with clients throughout Job Requirements
- Master's degree or above in Statistics, Mathematics, Computer Science, Engineering or any discipline with strong quantitative elements
- 5+ years' experience relating to Data & Analytics, with at least 3 years in delivery experience for statistical modelling and data science works.
- Demonstrated expertise in machine learning techniques – e.g., logistic regression, random forest, support vector machine, Gradient boosting, cluster analysis, Naive Bayes, dimensionality reduction, Bayesian methods, Deep Neural Networks, NLP and time series modelling
- Experience in Python is mandatory, master Flask API/Web architecture
- Experience using Gitlab
- Knowledge of SQL and relational databases.
- Experience working in cloud environments
- Proficiency with Linux.
- Relational database experience.
Preferably Oracle with a working knowledge of PL/SQL.
- Strong knowledge of n-tier web applications.
- Knowledge of Desired State Configuration technologies such Chef, Docker Compose or Ansible.
- Experience working with Agile Scrum teams, including those distributed geographically
- Familiarity with change management systems and processes
- A data-oriented mind-set, enjoy facing new challenges and learn new data science technology skills
- Strong communication skills with capability of translating business requirement into technical needs and articulating technical concepts or results to non-technical audience
- Strong knowledge with Continuous Delivery Concepts.
- Strong written and verbal communication skills.
- Good English and Mandarin language skills
- Strong business development and project management skills