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Staff Data Scientist

3 months ago

Bengaluru, India Antal International Full time
Job Description

Staff-level Data ScientistResponsibilities:● Lead end-to-end data science projects, including problem formulation, data collection,cleaning, feature engineering, model development, validation, and deployment.● Apply advanced statistical analysis, machine learning algorithms, and data mining techniquesto extract insights and patterns from large-scale structured and unstructured data sets.● Collaborate with stakeholders to define project objectives, deliverables, and success metricsaligned with business goals.● Develop and maintain scalable and efficient data pipelines, ensuring data integrity, quality, andsecurity.● Implement and optimize machine learning models, deep learning architectures, and otherstatistical techniques to solve complex business problems.● Design and conduct rigorous experiments, A/B tests, and statistical hypothesis tests tomeasure the effectiveness of data-driven solutions.● Communicate complex analytical findings and insights to both technical and non-technicalstakeholders through visualizations, presentations, and reports.● Stay up-to-date with the latest advancements in data science, machine learning, and relatedtechnologies, and apply them to improve existing processes and methodologies.● Provide guidance, mentorship, and technical leadership to junior data scientists, fostering acollaborative and knowledge-sharing culture within the team.Requirements:● Bachelor's or advanced degree in Computer Science, Statistics, Mathematics, or a relatedquantitative field.● Minimum of 8 years of professional experience as a Data Scientist, with a proven track recordof delivering impactful data-driven solutions.● Expertise in machine learning techniques such as regression, classification, clustering, timeseries analysis, natural language processing, and recommendation systems● Proficiency in programming languages such as Python, R, or Scala, along with experienceworking with libraries and frameworks like scikit-learn, TensorFlow, PyTorch, or Keras.● Solid understanding of statistical analysis, experimental design, and hypothesis testing.● Experience with big data technologies (e.g., Hadoop, Spark) and working with large-scale datasets.● Strong data manipulation and SQL skills, along with proficiency in data visualization tools likeTableau, Power BI, or matplotlib.● Demonstrated ability to lead and manage complex data science projects, including projectscoping, planning, and execution.● Excellent problem-solving and critical-thinking skills, with a keen attention to detail and apassion for tackling challenging analytical problems.● Strong communication skills, with the ability to translate complex technical concepts into clearand concise insights for stakeholders at various levels of the organization.

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