Lead Data Scientist
3 weeks ago
Responsibilities:
- Collaboratewith crossfunctional teams to understand product requirements andtranslate them into data sciencesolutions.
- Design develop and implement machinelearning algorithms and statistical models to solve complexbusiness problems.
- Conduct thorough exploratorydata analysis and feature engineering to extract insights fromlarge datasets.
- Build and deploy scalableproductionready machine learning pipelines for realtimeinference.
- Evaluate model performance anditerate on algorithms to improve accuracy scalability andefficiency.
- Stay updated with the latestadvancements in data science and machine learning techniques andactively contribute to our knowledge sharinginitiatives.
- Mentor junior team members andprovide technical guidance on best practices in data science andmachinelearning.
Requirements:
- Bachelors/Mastersdegree in Computer Science Statistics Mathematics or a relatedfield.
- 9 to 14 years of handson experience indata science and machine learning with a strong track record ofdelivering successful projects.
- Proficiency inprogramming languages such as Python R or Scala along withexperience in libraries such as TensorFlow PyTorch scikitlearnetc.
- Deep understanding of various machinelearning algorithms and statistical techniques including supervisedand unsupervised learning time series analysisetc.
- Experience in building endtoend machinelearning pipelines from data preprocessing to model deployment inproduction environments.
- Strong problemsolvingskills and the ability to think creatively to tackle complextechnical challenges.
- Excellent communicationand collaboration skills with the ability to effectively interactwith stakeholders at all levels.
datascience,machinelearning,python,r,scala,tensorflow,pytorch,scikit-learn,statisticalmodeling,supervised learning,unsupervised learning,time seriesanalysis,feature engineering,exploratory data analysis,modeldeployment,algorithm development,problemsolving
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