Lead Assistant Manager
Lead Assistant Manager
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Job Description
Job Description:
As a Senior Data Scientist you will play a crucial role in developing and deploying advanced machine learning models and data science solutions. You will collaborate closely with crossfunctional teams to analyze data build predictive models and deploy solutions at scale. The ideal candidate will havea strong foundationin machine learning statistics and data modeling coupled withexpertisein Python and experience with distributed computing frameworks such asPySparkDask and web development frameworks likeFastAPIandStreamlit.
Responsibilities:
Lead the development and implementation of machine learning models to address complex business challenges and opportunities.
Conduct comprehensive data analysis to extract insights and inform decisionmaking processes.
Collaborate with stakeholders to define projectobjectives requirements and success criteria.
Develop and optimize machine learning algorithms to improve performance efficiency and scalability.
Deploy machine learning models into production environments and ensure reliability and scalability.
Monitor model performance and conduct regular evaluations toidentifyareas for optimization and improvement.
Utilize explainable AI techniques to interpret model predictions andprovideactionable insights to stakeholders.
Conduct A/B testing to evaluate model performance andvalidatehypotheses.
Leverage distributed computing frameworks such asPySparkandDaskto handle largescale data processing tasks.
Develop interactive web applications for data visualization and model deployment usingFastAPIandStreamlit.
Stay current with advancements in machine learning statistics and data science techniques and tools.
Qualifications:
Bachelors or mastersdegree in computer science Statistics Mathematics or a related field.
4 years of experience in data science machine learning or related fields.
Proficiencyin Python programming language for data analysis machine learning and web development.
Strong understanding of machine learning algorithms statistical concepts and data modeling techniques.
Handson experience with machine learning libraries such as NumPy SciPy and scikitlearn.
Experience with distributed computing frameworks such asPySparkandDask.
Familiarity with model monitoring deployment and lifecycle management processes.
Excellent problemsolving skills and attention to detail.
Strong communicationand collaboration skills with the ability to work effectively in crossfunctional teams.
Experience with LLM models is a plus.
Required Experience:
Manager
Employment Type
Full-Time
