Siemens AG
Job Family:
Software
Req ID:
485887
Employer: Siemens Industry Software Inc.
Job Title: Data Scientist [MULTIPLE POSITIONS]
Job Location: Plano, TX and various unanticipated locations throughout the US
Job Type: Full Time
Rate of Pay: The salary range for this position in Plano, TX is $105,100.00 - $189,200.00 per year and this role may be eligible to earn incentive compensation. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, 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).
Duties:
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.
Requirements:
Employer will accept a 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.
Position requires coursework, internship, or experience involving the following:
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.
5% Domestic travel required. Telecommuting and/or working from home permitted pursuant to company policy. [Remote role]
Referral Program: Incentives offered through the Company’s Employee Referral Program are applicable to this position.
CONTACT : Apply within this posting.
Organization:
Digital Industries
Job Type:
Full-time
Category:
Internal Services
#J-18808-Ljbffr
Software
Req ID:
485887
Employer: Siemens Industry Software Inc.
Job Title: Data Scientist [MULTIPLE POSITIONS]
Job Location: Plano, TX and various unanticipated locations throughout the US
Job Type: Full Time
Rate of Pay: The salary range for this position in Plano, TX is $105,100.00 - $189,200.00 per year and this role may be eligible to earn incentive compensation. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, 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).
Duties:
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.
Requirements:
Employer will accept a 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.
Position requires coursework, internship, or experience involving the following:
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.
5% Domestic travel required. Telecommuting and/or working from home permitted pursuant to company policy. [Remote role]
Referral Program: Incentives offered through the Company’s Employee Referral Program are applicable to this position.
CONTACT : Apply within this posting.
Organization:
Digital Industries
Job Type:
Full-time
Category:
Internal Services
#J-18808-Ljbffr