Details:
Job Description and Responsibilities:
- 5+ years of experience with top-tier firms in big data analytics, management consulting, or comparable role in corporate settingFinancial Services domain experience preferred
- 5+ years of experience with machine learning software
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Hands-on predictive analytics experience with Python
- In-depth knowledge of statistical software packages (e.g. SAS or R)
- Experience with data visualization tools (e.g. Plotly, PowerBi, Tableau, Shiny)
- Exposure to big data technologies such as Hadoop, R, and Java / MapReduce a plus
- Exposure to NoSQL databases, such as MongoDB, Cassandra, HBase, DynamoDB a plus
Experience & Skills Required:
- Comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs
- Strong analytical and critical thinking skills
- Self-motivated. Capable of working with little or no supervision
- Strong written and verbal communication skills
- Enjoy challenging and thought provoking work and have a strong desire to learn and progress
- Ability to manage multiple tasks and requests
- Must demonstrate a positive, team-focused attitude
- Ability to react positively under pressure to meet tight deadlines
- Good inter-personal skills combined with willingness to listen
- Structured, disciplined approach to work, with attention to detail
- Flexible – able to meet changing requirements and priorities
- Maintenance of up-to-date knowledge in the appropriate technical areas
- Able to work in a global, multicultural environment
Min. Qualification:
open
Skills Required:
bigdata, K-NN, machine learning, naive bayes, python
