Posted:Just now|
Platform:
Work from Office
Full Time
Key Responsibilities:
Analyze large datasets to identify trends, correlations, and patternsDevelop predictive models to forecast future outcomesUtilize data mining and machine learning techniques to extract meaningful insightsDesign and implement data pipelines and databases to organize, store, and query dataCollaborate with software engineers, product owners, and business analysts to create data-driven solutionsInterpret and communicate results to stakeholders in a clear and concise mannerDevelop strategies and processes to improve data quality and accuracyStay up-to-date with the latest technologies and industry trends
Required Skills and Experience:
Proficiency in programming languages such as Python and RStrong knowledge of data mining, statistical analysis, and machine learning techniquesExperience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)Hands-on experience in building predictive models and data pipelines3-7 years of relevant experience in data science, analytics, or related fieldsStrong analytical and problem-solving skills with the ability to handle large datasetsEffective communication and stakeholder management skills
Educational Qualifications:
Bachelors / Masters degree in Computer Science, Statistics, Mathematics, Engineering, or related fieldAdditional certifications (if any): Data Science, Machine Learning, or AI specializations
Preferred Qualifications (Good to Have):
Domain knowledge in automotive or mobility industryExperience working on international/global projectsExposure to big data technologies (e.g., Hadoop, Spark) or cloud platforms (AWS, Azure, GCP)
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