Data Scientist

2 months ago

Mumbai, India i-Qode Digital Solutions Private Limited Full time
JobDescription:
Responsibilities: Lead endtoend data science projects fromproblem formulation to model deployment and performancemonitoring. Apply advanced machine learningtechniques to analyze structured and unstructured data includingbut not limited to predictive modeling clustering classificationand recommendation systems. Develop andimplement NLP algorithms and techniques to extract valuableinsights from text data including sentiment analysis topic modelingand entity recognition. Collaborate withcrossfunctional teams to understand business requirements defineproject objectives and deliver actionable insights andsolutions. Design and conduct experiments totest hypotheses and validate model performance leveragingstatistical techniques and data visualizationtools. Mentor and provide guidance to juniordata scientists helping to foster a culture of continuous learningand innovation within the team. Stay currentwith emerging trends and technologies in data science machinelearning and NLP and identify opportunities to apply them to solvebusiness problems effectively.Qualifications: Bachelors or Masters degree in ComputerScience Statistics Mathematics or a relatedfield. 57 years of professional experiencein data science with a proven track record of delivering impactfulsolutions in a business setting. Strongproficiency in machine learning techniques and algorithms includingsupervised and unsupervised learning deep learning andreinforcement learning. Extensive experiencein natural language processing (NLP) techniques and frameworks suchas NLTK spaCy or TensorFlow. Proficiency inprogramming languages such as Python or R and experience with datamanipulation and analysis libraries (e.g. Pandas NumPySciPy). Experience with data visualizationtools (e.g. Matplotlib Seaborn Tableau) and proficiency in SQL fordata manipulation and querying. Excellentproblemsolving skills and the ability to translate businessrequirements into technical solutions.Strong communication and collaboration skills with the ability topresent complex findings and concepts to nontechnical stakeholderseffectively.PreferredQualifications: Experience working with largescale datasetsand distributed computing frameworks (e.g. HadoopSpark). Knowledge of cloud platforms such asAWS Azure or Google Cloud Platform and experience with deployingand managing machine learning models in productionenvironments. Experience with versioncontrol systems (e.g. Git) and familiarity with softwaredevelopment best practices.

machinelearning,deeplearning,nlp,nltk,sql,tableau,pandas,numpy,scipy,tensorflow,hadoop,spark

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