Data Scientist Job in Daimler Ag

Job Description: Data Scientist

Education & Training
Bachelors degree or Masters in Computer Science/Statistics/Mathematics
Experience
7 to 9 years of experience in executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing.
Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems.
Proficient knowledge in statistics, mathematics and data analysis
Excellent understanding of business operations and analytics tools for effective analysis of data
Experience on optimized data collection procedures and generate reports.
Experience on building predictive models and machine-learning algorithms.
Experience in designing complex reports such as Drill-down, Drill-through, Cascading, Matrix, cross tab and Map reports using Power BI or Tableau
Expertise in data storage structures, data mining, and data cleansing
Systematic problem-solving approach with strong communication skills and a sense of ownership and drive
Skills
Primary Skills
Strong hold of concepts in Statistics
Strong programming skills in R, Python, Java
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark.
Proficient with NoSQL databases like MongoDB, PostgreSQL and Cassandra running huge volumes of data
Proficient in with SQl Databases like MSSql, Postgres.
Have a good exposure to Azure Analytics Products like, Data Factory, HD Insights, Azure Data Lake Storage, Data Bricks.
Experience on different data visualization tools like PowerBI , Tableau.
Secondary Skills
Tools - Qliksense , Tableau
Kusto Query Language
Job Responsibilities
Supporting the analytics needs of business by analyzing data from multiple sources
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Support in collecting, organizing, and interpreting data along with fellow colleagues.
Build predictive models and machine-learning algorithms
Use machine learning tools and statistical techniques to produce solutions to problems
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams

Job Responsibilities


- Responsible for installation, maintenance, and providing support for Application Performance Monitoring and Instrumentation with the primary focus on AppDynamics and Azure Monitor.
- Help define and implement best practices for Production Application Management monitoring
- Assist engineers with production Infrastructure Monitoring
- Ability to develop necessary POCs & POVs in sandbox/testing environment
- Ability to support setup and configuration of the APM tool
- Assist in building an APM Centre of Excellence
- Operating system and server architecture knowledge of UNIX/Windows/virtual systems
- Assist development teams with application and server troubleshooting and diagnostics
- Programming automation (VBA /VB.Net, JAVA or major scripting languages such as Perl and Python, Unix/Linux shell scripts)