Senior Data Scientist
Skills
Computer ScienceSoftware As A ServiceWeb ApplicationsApache SparkBehavioral SciencesData AnalyticsFraud Investigations
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years in data analytics or data science with cloud technologies
- 3+ years solving data science problems in Property & Casualty insurance
- Strong mathematics and problem-solving skills
- Comfort communicating and presenting results to stakeholders and customers
- 5+ years using Python including Jupyter Notebooks Airflow Spark Hadoop EMR Sagemaker S3 Glue or similar
- 5+ years using SQL across varied data sources
- Experience with S3 Postgres Redshift Snowflake HDFS or similar storage systems
- Self-motivated proactive organized and willing to learn
- Comfortable in a fast-paced unstructured environment
- Eagerness to wear multiple hats and support teammates
Nice to have
- Proactive
- Organized
- Self-motivated
- Collaborative
- Adaptable
Day to day
- Bridge data science engineering and account management to deliver customer solutions and productize behavioral data insights
- Query multiple data sources mine insights and present clear recommendations that add measurable customer value
- Support predictive models and automate real-time and batch data movement in a high-performance ML environment