Siemens Industry Software Inc. is a leading company in the digital industries field. They are seeking an experienced Data Scientist to build production-grade models and collaborate with teams to optimize marketing performance and drive business value through advanced data analytics and machine learning techniques.
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.
Qualification
Required
Bachelor's degree, or foreign equivalent, in Computer Science, Data Science, Information Systems, or related field and 24 months of experience in the job offered or in a Data Scientist-related occupation.
Alternatively, employer will accept a Master’s degree, or foreign equivalent, in Computer Science, Data Science, Information Systems, or related field and no experience.
Coursework, internship, or experience involving Python, R, Java, or Scala for data processing.
Database and query optimization and analytical databases, such as Snowflake or Redshift.
Relational SQL and NoSQL databases.
BI visualization software including Tableau or Qlik.
Version control tools and platforms including Github and GitLab.
Data pipelining and workflow management tools including Airflow, AWS, and Data Pipelines.
Dimensional data-lake architecture and data serialization formats including JSON, Avro, and Parquet.
Preferred
Benefits
Siemens offers a variety of health and wellness benefits to employees.
This position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees).
Siemens empowers customers to transform the industries that form the backbone of economies: industry, transportation, buildings and grids.
