Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics
Should have handson experience in leading a team of data scientists, works closely with client's technical team to plan, develop and execute on client requirements providing technical expertise and project leadership.
Leads efforts to foster innovative ideas for developing high impact solutions.
Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing
Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions.
Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities.
Technical Role and Responsibilities
Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence
Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python
Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods;
Visualization tool experience - preferably with Tableau or Power BI
Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera.
Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight.
Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship.
Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond.
Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics
Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure.
Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning
Exposure to below skills:
Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT.
Machine Learning, Deep Learning, Computer Vision, Natural Language Processing,Statistics
Programming Languages-Python