Sr. Data Scientist

data scientist, machine learning, natural language processing, spark, python, r, sentiment analysis, databricks
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

A Top Fortune 500 Firm in Manhattan is looking for a Full-Time, Permanent, Employee position for a Sr. Data Scientist is a new, start-up style group within the Data Strategy Group.


The Data Scientist role within the Data Strategy group provides an opportunity to create and improve data-driven products to power one of the world s largest and most respected risk management and reinsurance firms. The Data Strategy group has a start-up style mandate and internal consulting role (within a $1.3 billion company) to quickly and efficiently enhance the acquisition, storage, analysis, fidelity, and monetization of massive amounts of client, internal, and third-party data across the organization.


As a member of the Data Strategy group, the Data Scientist will work with fellow data scientists, data engineers, product managers, business analysts, and stakeholders from other internal groups to design and improve data-centric products with the dual mandate of (1) increasing the efficiency of the data collection and analysis process across the Firm and (2) driving the monetization of data via newly designed and existing products for the Form s reinsurance clients. The data scientist will act as an advisor on a number of internal initiatives and will have ownership over projects which will require direct reporting to senior-level management in both business and technical groups.


----- Responsibilities -----

- Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue
- Render statistical analysis in compelling visualizations to enable business stakeholder understanding of insights and outputs
- Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment
- Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings for the Firm s clients
- Analyze and interpret aggregate client exposure or claim data to find underlying patterns, changes, and trends
- Partner with product managers and business analysts to influence and prioritize the Firm s data acquisition strategy
- Collaborate with development teams incorporating data science products across the Firm s applications
- Establish and maintain strong relationships with internal teams members and external clients when possible
- Monitor performance of data products and respond to internal inquiries regarding their maintenance
- Evangelize data science techniques and best practices throughout global strategic advisory
- Keep up-to-date on the latest trends and innovation in data science tools and techniques and how these trends apply to the Firm s business and data strategy

----- Required Qualifications -----

- 3-5 years of experience as a data scientist or in equivalent quantitative engineering role
- Significant experience with R, Python (pandas, sklearn), Spark (RDDs, dataframes), machine learning algorithms and libraries (TensorFlow, PyTorch), SQL
- Significant experience with natural language processing techniques ranging from topic classification to sentiment analysis
- Working knowledge of underwriting and actuarial principles
- Experience acquiring and organizing data in cloud and on-premises environments
- Bachelor s or Master s Degree in data science, computer science or related quantitative field such as applied mathematics, statistics, engineering or operations research
- Experience working in an Agile environment to facilitate the quick and effective fulfillment of group goals
- Good interpersonal skills for establishing and maintaining good internal relationships, working well as part of a team and for presentations and discussions
- Strong analytical skills and intellectual curiosity as demonstrated through academic experience or work assignments
- Ability to communicate technical concepts to non-technical audience
- Excellent English verbal and writing skills for complex communications with the Firm s colleagues at all levels of the organization
- Good ability to prioritize workload according to volume, urgency, etc. and to deliver on required projects in a timely fashion
- Desire to take ownership of proposed and assigned tasks and to seek assistance when needed

----- Preferred Qualifications -----

- Experience with machine vision and extracting structured information from images, multimedia, and other unstructured file formats (CSS)
- Prior experience in relevant insurance/reinsurance field performing analytic analysis or experience in building model/software products for financial or insurance industry
- Familiarity with modern data productivity frameworks and their alternatives such as Databricks, DataRobot and Alteryx



Dice Id : emtekny
Position Id : 6288466
Originally Posted : 2 weeks ago
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