Kalypso is seeking exceptional candidates who are passionate about the exciting world of digital technologies, including the Internet of Things, Big Data, Advanced Analytics, Artificial Intelligence and Machine Learning.
As a Data Scientist, you will help our clients apply leading data analysis and artificial intelligence techniques to challenging business problems, all while becoming proficient in the most highly valued technological skillset in the global marketplace.
Our work is fast-paced, demanding, and provides unparalleled exposure to unique opportunities. The learning curve can be quite steep, but our team will help you build confidence and enable you to explore areas that are of interest to you. Our focus is on helping clients extract business value from cutting edge technical capabilities, not just on making the technology work. In this role you will help design, develop, and test solutions for a diverse set of clients in industries such as Manufacturing, High Tech, Life Sciences, Consumer Goods and Retail.
Main Responsibilities
No two days are exactly the same in our dynamic environment, nevertheless, below is a list of responsibilities you will be accountable for:
- Creating data models supporting Kalypso digital solutions across Manufacturing, High Tech, Life Sciences, Consumer Goods and Retail industries. Example model themes:
- Timeseries analysis
- Predictive maintenance
- Asset efficiency modelling
- Complex forecasting
- Risk analysis
- Customer behavior analysis
- Multi-dimensional correlation
- Natural Language Processing / Natural Language Generation
- Sentiment Analysis
- Build data visualizations and gather insights from data
- Build scalable tools to process large volumes of structured and unstructured data using on prem, cloud, and hybrid technologies – for our pre-configured solutions or on per-project basis
- Implement machine learning and data management strategies (ingest, process, store)
- Interact with internal and external stakeholders to understand their concerns and actively participate in solution design and build
- Have fun while delivering excellent results to our customers
Requirements
- Degree in Computer Science or Information Systems
- 2-4 years of relevant work experience in Data Science and/or Statistics
- Proficiency in mathematical disciplines including linear algebra, calculus, probabilistic models and statistics
- Data manipulation techniques, including ETL/ETLV, libraries like pandas, numpy and scipy
- Experience with R or Python scripting techniques
- Experience with data visualization platforms like matplotlib, seaborn, plotly
- Competency in Graph/NoSQL database techniques, and RDBMS SQL platforms like Oracle and MS SQL Server
- Experience using and developing RESTful and SOAP Web Services
- General knowledge of software development practices and technical documentation (requirements, functional specifications, test plans, etc.)
- Experience with Machine Learning model development, training, validation, tunning and application
- Experience working in a team-oriented, collaborative environment with flexibility and a deep commitment to client service
- Experience translating business requirements into well-engineered and integrated technical solutions; attention to detail
- Commitment to quality and on-schedule delivery
- Strong communication skills in English, both written and verbal
- Superior analytical, technical and problem-solving skills
- Effective interpersonal, organizational, and time management skills
- Creativity, self-confidence and flexibility
- Willingness to travel up to 50%
- Ability to travel to U.S.A. and Europe
- All applicants applying for Mexico based job openings must be authorized to work in Mexico
