Job Description

Position Overview

Siemens Digital Industries Software is looking for a talented Data Scientist/Engineer to be part of the Data and Analytics team. The ideal candidate will have proven experience and passion for driving data science projects to generate impact and value to the company.

Responsibilities

As a Data Scientist/Engineer on the Data Analytics & Automation team (DAA), your primary responsibilities will be:

Detailed responsibilities:

Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, or data mining techniques and marketing science research
Work with data engineering team to create data pipelines
Work with operations team to create data integration pipelines between marketing systems on our data lake strategy
Assist and collaborate with other data analysts and scientists to generate value from data
Build backend data services for internal applications teams to consume
Build tools and frameworks to facilitate efficient and reliable data processing
Enable data science models including model building, scripting, data preparation and model management.
Create engineered feature sets for training ML models
Build classification, regression, and clustering models using Python ML libraries and Automated ML software tools
Identify and define new AI and ML approaches to driving better business performance

Required Knowledge/Skills, Education, and Experience

Bachelor of Science in computer science or related area, or equivalent experience
Experience working with customer data platforms
Java, or Scala for data processing
Working experience with analytical databases, such as Snowflake or Redshift, as well as database and query optimization
Highly Proficient with SQL
Experience with relational SQL and NoSQL databases
Familiar with BI visualization software like Tableau or Qlik
Hands-on experience with versioning, continuous integration, and build and deployment tools and platforms such as Github, GitLab, and Circle CI
Knowledge of data pipelining and workflow management tools such as Airflow, AWS Data Pipelines, and Luigi
Familiar with dimensional data modeling and data normalization
Familiar with data-lake architecture and data serialization formats such as JSON, Avro, and Parquet
Practical experience building, validating, and deploying ML based predictive or clustering models

Bonus Points:

Experience with AWS cloud services: Kinesis, Redshift, SNS, EC2, EMR Spark, EMR Hive, RDS, Athena, Spectrum, DynamoDB, and AWS Glue
Spark Streaming, Kafka, Kinesis, Spark Streaming, and Terraform
Hands-on experience with data stream processing

Valid through: 3/3/2021

About Siemens

Siemens AG is a German multinational conglomerate company headquartered in Munich and the largest industrial manufacturing company in Europe with branch offices abroad. The principal divisions of the company are Industry, Energy, Healthcare, and Infrastructure & Cities, which represent the main activities of the company. The company is a prominent maker of medical diagnostics equipment and its medical health-care division, which generates about 12 percent of the company's total sales, is its second-most profitable unit, after the industrial automation division. The company is a component of the Euro Stoxx 50 stock market index. Siemens and its subsidiaries employ approximately 385,000 people worldwide and reported global revenue of around €87 billion in 2019 according to its earnings release. Beginning in 2005, Siemens became embroiled in a multi-national bribery scandal. One component of this scandal was the Siemens Greek bribery scandal over deals between Siemens and Greek government officials during the 2004 Summer Olympic Games. Siemen's activities came under legal scrutiny when complaints from prosecutors in Italy, Liechtenstein and Switzerland lead to German authorities opening investigations, followed by a US investigation in 2006 concerning their activities while listed on US stock exchanges. The investigators found that bribing officials to win contracts was standard operating procedure. Over that time period the company paid around $1.3 billion in bribes in many countries and kept separate books to hide them. Settlement negotiations took place through most of 2008 with settlement terms announced in December 2008. The company paid a total of about $1.6 billion, around $800 million in each of the US and Germany. This was the largest bribery fine in history, at the time. The company was also obligated to spend $1 billion on setting up and funding new internal compliance regimens. Siemens pleaded guilty to violating accounting provisions of the Foreign Corrupt Practices Act; the parent company did not plead guilty to paying bribes.

Total Jobs:

Total Experts:

Average Pay:

$121,010

Total value of jobs:

$56,875,000

% Masters:

38%