Associate Technical Scientist
Associate Technical Scientist
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Job Description
Associate Technical Scientist GCC India
The Data Scientist is responsible for using analytical techniques to solve and support complex data science problems. This role will work alongside senior team members to leverage machine learning tools that advance Assurants business. The Data Scientist will refresh existing ML models and bring maturity to the data science solutions.
This position will be Remote at our India location. But we are looking for the candidates from Bangalore Chennai & Hyderabad regions only.
What will be my duties and responsibilities in this job
Creating Value Through Data 15
- Produce clear insightful understandable work products (visualizations reports presentations etc. to outline actionable recommendations.
- Transform data into insights by leveraging internal and external tools (e.g. Python SQL Hadoop Excel Sawtooth Power BI etc. to identify and quantify opportunities.
- Build studies that add substantial value to the decisionmaking process through proactive data analysis reporting and research.
Model Development 30
- Develops machine learning solutions for complex business problems; examine data and develop machine learning solutions for adding business value.
- Devises new algorithmic approaches to solving difficult quantitative problems using largescale enterprise data sources.
- Develop automated ML models to standardize the refresh process to drive data consistency and quality.
AI Product Maturity Support & Maintenance 40
- Support retraining and enhancement of existing ML models to facilitate growth and maintenance of AI products.
- Proactively identify the opportunities to drive and engage the data science and engineering teams to bring maturity to the AI product implementation methodology.
- Ensures data and model governance is established to comply with internal audit requirements and ensures compliance with data governance and data privacy policies.
- Support ad hoc analytical projects.
Communicating Insights 5
- Presents analysis and resulting recommendations to senior team members.
- Leverages data to present compelling business cases to optimize investments and operations.
Support Data Strategies 10
- Remains abreast of developments in the field(s) of insurance management and data sciences by attending selfdevelopment programs interacting with peers and reviewing pertinent literature. Incorporates advancements when practicable and costeffective.
- Participate and drive data modeling and governance best practices.
- Proactively engages internal teams to discover areas of analytical needs.
What are the requirements needed for this position
- 3 years Experience in developing ML models large scale solution implementation data engineering & management business analysis research statistics applied mathematics business intelligence or related fields.
- 3 years Experience with data science tools (e.g. Python PySpark SQL Hadoop Advanced Excel Tableau Power BI Sawtooth CART R etc. and relational database software
- 2 years Experience in data analysis that includes translating insights into recommendations.
- 2 years Experience in an analytical role involving data extraction analysis statistical or machine learning modeling and communication.
- 1 year experience in developing and implementing Generative AI algorithms and applications.
- Bachelors Degree in Statistics Economics Applied Mathematics Computer Science or Information Management; or equivalent is required.
- Writes efficient code that incorporates best practices and standardized methodologies for implementing Data Science solutions.
What other skills/experience would be helpful to have
- Masters Degree preferred in business mathematics computer science or a related field.
- Experience in performing statistical analyses such as predictive modeling time series analysis exploratory data analysis segmentation cluster analysis retention etc.
- Strong written verbal and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
- Experience with data storytelling and distilling complex information into understandable ideas.
- Experience working in the insurance industry.
- Experience with cloud technologies (e.g. Apache Spark Azure (Databricks Azure ML Cognitive Services).
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Required Experience:
IC
Employment Type
Full-Time
