Director, Data Science Operations

Kemper Insurance
Saint Paul, MN, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$160,555.0 - $226,500.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Airflow Amazon Web Services Amazon S3 Databases Extract Transform Load (ETL) Data Transformation Data Warehousing Amazon DynamoDB Apache Hive JSON
+16 more
Python (Programming Language) PostgreSQL Parsing Pentaho Data Integration SAP (Applications) SQL Databases Extensible Markup Language (XML) Informatica Powercenter Snowflake Apache Spark Pandas Apache Flink Apache Kafka Spark Streaming Machine Learning Operations Amazon Redshift

Job description

Director, Data Science Operations sought by Merastar Insurance Company in Chicago, IL. 40 hrs./wk. Duties include: Analyze, estimate & define data transformation req. to load data into EDW, Snowflake, Postgres, S3 (enterprise production & custom-built analytics environment). Create ETL architecture & design flows to illustrate data mvmt from production to analytics environments (new & legacy AWS analytics environments). Design & develop database code software. Analyze project & make strategy for analytics data solutions & AI model support & deployment. ETL & analytics S3 storage projects. Lead analytics/data science ETL projects. Lead team. Evaluate organization’s tech. needs, create POCs for new implementation or tech. enhancement & recommend improvements. Remote working benefits available. Can work from anywhere in U.S. MIN REQ: Bach. degree, or foreign equiv., in Comp Sci, Eng’g, Math, Physics or related field. 10 yrs exp. in job offered or as Database Architect or Data

Requirements

Warehousing Specialist. SPECIAL SKILLS: 10 yrs exp w/ SQL & adapt skills in multiple relational tech. (Redshift, Hive, SparkSQL etc.); event oriented, Reactive architectures. 8 yrs exp w/ Python data skills w/ Pandas, & XML/JSON parsing. 5 yrs exp w/ AWS tech. Redshift, Glue, DynamoDB, S3; streaming platforms such as Spark Streaming, Flink & workflow mgrs such as Airflow; at least one ETL tool such as Informatica, Pentaho, SAP, etc. 2 yrs exp implementing at scale, messaging sys. such as Amazon Kinesis or Apache Kafka; languages such as Java or Scala. Travel: Up to 5% short-term, domestic travel may be involved to attend industry conferences. Wage range: $160,555 to $226,500. When determining candidate offers, we consider exp., skills, education, certifications, & geographic location among other factors. This job is eligible for an annual discretionary bonus and benefits (Medical, Dental, Vision, PTO, 401k, etc.). Email resume to Jennifer Brown, HR Services Lead

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Paid time off
  • Vision insurance
  • Dental insurance

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