This position can be located in New York, NY, Holmdel, NJ or Stamford, CT. Over 50- 75% of the work will be remote. Position Objective Position responsible for utilizing machine learning methods and tools like Python and SQL to examine business questions and uncover novel insights, also visualization of analytical results using Tableau and Dash.
The data scientist role will work closely with analytics translators and other data scientists in the team to integrate results into operational platforms.
The position includes analytic computing, data analytics, predictive modeling and communication of results.
Collaborate with cross-functional teams to identify highest value activities for Advanced Data and Analytics group
Work closely with Data Architecture Lead to understand systems opportunities and constraints for maximally monetizing the Guardian Enterprise Data Infrastructure
Develop relationships with business team members by being proactive, displaying an increasing understanding of the business processes and by recommending innovative solutions
Provide data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs
Communicate project output in terms of customer value, business objectives, and product opportunity
Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities
Promote data science methods and processes across functions
Master's degree with one to two years of experience in Computer Science, Engineering, Applied mathematics or related field
Extensive experience in Python or R
Solid experience in predictive modeling development
Solid experience in SQL query and optimization
Experience with parallelism in applying machine learning
Experience with visualization software (Tableau or Dash
Familiar with a range of machine learning models, for example: Random Forest, GBM, XGboost, GLM/glmnet, Deep learning convolutional models, recurrent models, and dimensionality reduction methods, including PCA, SVD , Isomap
Familiar with a range of machine learning related tools, for example: including Python scikit-learn, Pandas, numpy, R caret, H2O, Tensorflow, Keras
Results driven with a positive can-do attitude
Individual with curiosity to find stories hidden in a large repository of data
Effective communication skills to work with partners to identify business questions and work through their data to search for answers
Ability to tell a meaningful story with data
Expected to actively participate in defining and governing our analytics strategy
Strong in executing data science driven projects as we build out capabilities and our architecture.
Strong business acumen, with ability to draw clear connections between data modeling activities and business challenges/opportunities
Proven ability to organize, prioritize and handle time constraints and manage shifting priorities.
Consistent accuracy and thoroughness in performing work assignments
Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems
Understanding of best-in-class model and data configuration and development processes
Understanding of data science trends and potential future state technologies
Ability to travel - up to 10%.
Every day, Guardian gives 26 million Americans the security they deserve through our insurance and wealth management products and services. Since our founding in 1860, our long-term view has helped our customers prepare for whatever life brings whether starting a family, planning for the future or taking care of employees. Today, we're a Fortune 250 mutual company and a leading provider of life, disability and other benefits for individuals, at the workplace and through government sponsored programs. The Guardian community of ~9000 employees and our network of over 2750 financial representatives is committed to serving with expertise when, where and how our clients need us. Our commitments rest on a strong financial foundation, which at year-end 2017 included $8.0 billion in capital and $1.6 billion in operating income. For more information, please visit guardianlife.com or follow us on Facebook, LinkedIn, Twitter and YouTube.
Guardian® is a registered trademark of the Guardian Life Insurance Company of America.
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.