Data scientist

2 weeks ago

Pune, India ACL Digital Full time

Technical skills and competencies The role translates into understanding the data to implementing the data science/ML solutions and deploying it in production. You will work as part of a cross-functional team (product manager, ML engineer(s), ML platform engineer(s), backend, frontend, and QA) to directly have an impact on business objectives. Requirements and Skills ● 4-5 years of relevant experience ● Training/Certification in Data Science/Machine Learning is preferred ● Ability to effectively work with technical leads ● Strong communication skills, ability to synthesize conclusions ● Familiarity with Data Science concepts, Machine Learning algorithms & Libraries such as Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, Py Torch, XGBoost ● Worked in Machine Learning Training and Deployment pipelines ● Worked in Fast API/Falsk framework ● Worked in Docker and Virtual Environment ● Worked in Database Operations ● Strong analytical and problem solving skills ● Ability to thrive in a dynamic environment where there can be degrees of ambiguity Candidate Profile and Competencies Key Responsibility ● To be able to apply data mining, quantitative analysis, statistical techniques and conduct simultaneous experiments, to help us draw reliable insights from data. ● To be able understand business use-cases and use various sources to collect and annotate datasets for the business problems. ● To have a strong academic background with good analytical skill and exposure to machine learning and information retrieval domain and technologies ● Strong programming skills, must be able to work in programming languages such as Python, C/C++, etc.. ● Acquire data from primary or secondary data sources and perform data tagging ● Filter and clean data as per the business requirement and maintain a well-defined, structured and clean database ● Work on data labeling tool(s) and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label ● Interpret data, analyse results using statistical techniques and models and conduct exploratory analysis

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