Data Science Manager in Hyderabad at ZF

Date Posted: 11/12/2019

Job Snapshot

Job Description

Experience: 6 - 8 years

Location: Hyderabad


•       Partner closely with business verticals and Divisions across ZF to gather requirements and create POC's

•       Use data to identify trends, patterns and opportunities for the business and clients.

•       Interact with key stakeholders on regular basis and identify the new Analytics business opportunities.

•       Manage and Work closely with global teams in India, US and Europe.

•       Helping teams by removing impediments

•       Bring in Process and Metrics driven Agile methodologies

•       Share Weekly Status Reports to functional head and participate in Scrum-of-Scrum calls.

•       Reviews progress, issues and risks and conduct problem analysis

•       Ensure clear communication and work towards conflict resolution


•       Excellent technical design, problem solving, debugging and communication skills

•       Proven ability to create componentized, well-architected software

•       Exceptionally proficient with Artificial Intelligence/Machine Learning/Data Mining

•       Worked specifically on unsupervised machine learning / deep learning techniques like Anomaly detection and pattern detection in large amounts of data on time series data

•       Experience in working with IoT sensor data, IIOT and telemetry data

•       Highly proficient in languages in Python ML Stack (SciKit Learn, SciPy, Numpy, etc.), Apache Spark (Scala or Python), Tensor Flow/Torch frameworks.

•       Working experience on any cloud computing is necessary (AZURE, AWS etc.) Deep understanding and knowledge of Classification, Clustering, Sequence Mining, Feature Engineering, Time series prediction, Regression, Anomaly Detection, Deep

•       Neural Networks (CNN, LSTM, RNN, etc.)

•       Experience in working with databases and SQL in a business environment

Contact Information

Geddam Rajesh ,


  1. Scientist Jobs
  2. Computer Scientist Jobs

Not Ready to Apply?

Joining our Talent Network will enhance your job search and application process. Whether you choose to apply or just leave your information, we look forward to staying connected with you.