Senior Data Scientist
4 weeks ago
Senior Data Scientist,
Job Description:
DXC Analytics is looking for a senior data scientist with experience in NLP, Computer Vision, Time-series Forecasting and diverse ML Algorithms and is keen to expand their knowledge. As a part of DXC Analytics, you will have an opportunity to work with a team of talented data scientists and solve some of the real-world AI/ML Use cases. You will be working at a fast-paced environment to build rapid prototypes using state-of-the-art machine learning and NLP techniques and eventually productionize/operationalize them.
Job Responsibilities:
- Participate in conceptualizing, designing, and developing AI/ML based solutions for healthcare domain using Computer Vision / Image Analytics/ Time-series Forecasting.
- Develop solutions around diverse challenges with some of them being Time-series forecasting, Text Analytics, Prediction / Classification, Clustering, Recommender Systems, etc.
- Operationalize built prototypes in cloud platforms like Azure or equivalent.
- Quickly adapt to new programming language/libraries/platform.
- Ability to rapidly prototype and demonstrate value for businesses.
- Work effectively within a team environment under tight timelines.
- Convey findings to clients and stakeholders.
- Must be self-motivated, highly client focused and can collaborate with multiple teams.
Experience Required:
- 6+ years of experience in understanding a business challenge and formulating it as data science problem.
- 5+ years of Python experience with open-source libraries like Scikit-learn, Pytorch, Gensim, Tika, SparkNLP and Spacy
- 5+ years of experience with Machine learning techniques like K-Means Clustering, EM Algorithm, Bayesian Classifier, Multinomial Logistic Regression, SVM and CRF along with Ensembling methods.
- 2+ years of experience in building forecasting models using time-series techniques like smoothing techniques, Box-Jenkins models (ARIMA, ARIMAX), etc.; Deep learning techniques like LSTM/CNN
- 2+ years of experience with NLP concepts like Edit distance, Vector space model, Latent Dirichlet allocation and Latent semantic analysis.
- Hands-on experience in developing SQL queries for processing data in SQL database.
- Hands-on experience in ML Ops and related tools
- Hands-on Knowledge and implementation experience in Data Ingestion; ETL, Visualization Tools
- Experience in operationalizing machine learning models in cloud platforms like Azure.
- Experience in communicating complex algorithms and findings in an easily comprehensible way to clients.
- Exposure to Bash scripting, ML Flow, GitHub is plus.
- Experience in implementing Image Analytics using Computer Vision concepts for healthcare domain is plus.
Educational Qualifications Required:
- B.E/B.Tech. or equivalent in disciplines like Computer Science and Information Technology
- Master's degree with a specialization in machine learning/NLP from premier institutes like IITs, BITS, NIT is a plus.
- Pursued Data Science course of atleast 6 months duration from reputed institutes/platforms like Upgrad, Great Lakes, Insofe, etc.
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