Job Location: Bengaluru
Job Detail:
Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
Job Description
Job Description
- Atleast 5+ years of experience on Data Science
- Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights.
- Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits
- Proactively develop new metrics and studies to quantify the value of different aspects of product.
- Translate analytic insights into concrete, actionable recommendations for business or product improvement.
- Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.
- Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization.
- Should have independently handled a project technically and provided directions to the other Team Members.
- Experience in turning ideas into actionable designs.
- Able to persuade stakeholders and champion effective techniques through development.
- Ongoing technical authority role with our larger customers.
- Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.
- Able to lead the project independently.
- Technical directions to junior in team, like to sort the respective task for responsible team members
Technical Skills:
-
Expertise with any of the below skills:
- Python, Tensorflow, Keras, Pytorch
- NLP, WordNet, NLTK, OpenCV
- Tech savvy and willing to work with open-Source Tools
- Applying statistical and machine learning techniques, such as, mean-variance, k-means, nearest-neighbor, support vector, Bayesian time-series and network analysis to identify outliers, classify events or actors, and correlate anomalous sequences of events.
-
Proven track record and experience with statistical modeling/data mining algorithms such as
- Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc
- Machine learning, deep learning, graph mining.
- DOE, Forecasting, Segmentation, Uncertainty Analysis etc.
- Data Mining i.e. Text Mining, Classification Methods – SVM, NN, etc
- Vector Space model for Unstructured Texto Sentiment Analysis, Association Mining, Semantic Analysis
- Should know some programming language and willing to learn more.
Qualifications
Qualifications
MTech, BTech, BE or MCA
Additional Information
Good to Have:
- Experience leveraging cloud services (AWS/Azure/GCP), preferably Azure
- Deployment of Machine Learning Models and implementing MLOps practice
- Prior experience in Oil and Natural Gas domain
- Understanding of microservices
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