Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
About the role
- Feature selection, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Signal processing for IoT data
- Enriching company’s data with third party sources of information when needed
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Own the algorithm and model development and validation process till it enters production
- Monitor the algorithm when running in production and translate customers feedback into new requirements
Requirements
- Master in Computer Engineering, Computer Science or equivalent
- Preferred: PhD in Data Science, Machine Learning or equivalent
- 3+ years professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
- Experience with signal processing
- Excellent understanding of machine learning techniques and algorithms
- Good applied statistics skills, such as distributions, statistical testing, regression, etc
- Experience with common data science tools and libraries, such as Python, PyCharm, R, RStudio, NumPy, SciKit Learn, TensorFlow, MLib, Jupyter, Azure Machine Learning Studio etc.
- Experience with data visualization tools, such as D3.js, Matplotlib, GGplot, etc.
- Proficiency in using query languages such as SQL
- Good knowledge of version-control system such as Git
- Experience with Databricks and Spark for data analysis
- Knowledge of big data technologies such as Databricks, Microsoft Azure, Hadoop and computing engines is a big plus
- Proficiency with latex is a big plus
- Good scripting and programming skills
- Data-oriented personality
- Ability to work collaboratively in a team environment
- Ability to independently own and drive model development, balancing demands and deadlines
- Great communication skills,
- Fluency in English is a must.
Benefits
- A supportive and engaging onboarding experience to ensure a smooth transition into our team.
- The opportunity to develop and grow, through training and regular mentorship.
- Corporate Social Responsibility activities.
- A truly global, dynamic and challenging work environment.
- Agility and work/life effectiveness and your long-term well-being.
- A diverse and inclusive team.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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