- Use data to tell a story. Make insights and recommendations to help acquire new customers and grow our revenue.
- Use data analysis techniques to drive new product development and improve existing lines of business.
- Perform large-scale data analysis and develop effective predictive and descriptive analysis including various machine learning techniques, time series, regression, optimization, deep learning, etc.
- Use data visualizations to clearly and effectively aid key decision-makers.
- Interact with business partners to understand their goals and objectives, develop analytic requirements, provide answers to business questions, make recommendations, and join forces in driving business improvement and optimization.
- 4 year Bachelor's degree (BA/BS). in Mathematics, Statistics, Computer Science, Engineering, a related field, or the equivalent education and/or experience
- Up to two years of preferred of relevant, professional experience in data science.
- Familiarity with concepts such as predictive analysis, cloud computing, machine learning, artificial intelligence, & Bayesian analysis
- Proficient with multiple statistical software packages and/or programming languages such as R, Python, SQL, Tableau, Shiny, etc.
• - Excellent communication skills including the ability to identify and communicate data-driven insights
- Prior consulting experience preferred
- Possess and have the ability to apply knowledge of principles, practices, and procedures
- Advanced organizational and analytical skills; demonstrated ability to manage multiple tasks simultaneously
- Knowledgeable of industry changes, legal updates, and technical developments related to applicable areas of the Company's business to proactively respond to changing business environment
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Data Science Analyst - Encino, United States - Tokio Marine HCC
Description
Position at Tokio Marine HCC
Data Science Analyst-Associate
Do you enjoy using data to help develop new products or other data-driven product enhancements? Interacts with a diverse set of stakeholders using modern statistical techniques and creativity to identify novel analytical directions. Draws insights from many different forms of data and has a passion for data-driven creative processes, predictive models, and improving decision-making.
We are looking for a Data Science Analyst Associate. This position is in Encino, CA, or Houston, TX.
The position is a hybrid position but can be remote if you do not reside near one of our local offices.
Key Responsibilities:
This role relies on instructions and pre-established guidelines to accomplish the following varied assignments. The qualities of our ideal candidate:
For candidates working in person or remotely in the following location, the reasonable pay range for this specific position is Encino, CA, $69,700 - $95,800 annually. The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of color, race, sex, national origin, sexual orientation, gender identity, gender expression, religion, age, veteran status, disability, pregnancy, citizenship status, genetic information, or any other basis protected by federal, state, or local pay equity laws. The salary range is the range THMCC, in good faith, believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future, and actual compensation may vary from posting based on geographic location, work experience, education, and/or skill level. Even within the pay range, the actual compensation will vary depending on the above factors as well as market and business considerations."
The Tokio Marine HCC Group of Companies offers a competitive salary and employee benefits package. We are a successful, dynamic organization experiencing rapid growth and are seeking an energetic and confident individual to join our team of professionals. The Tokio Marine HCC Group of Companies are equal opportunity, employers. Please visit for more information about our companies.
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