Über
Required Skills/Experience (Skills that the successful candidate(s) must have) • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. • Strong experience in machine learning algorithms, predictive modeling, and data mining. • Proficiency in Python (required) for data science workloads. • Strong SQL (required) knowledge and experience with relational databases. • Proficiency in PySpark(required) for data science workloads. • Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices. • Experience with Azure Databricks, Oracle, and modern data science libraries (e.g., scikit-learn, pandas, NumPy). • Experience with GenAI and large language models. • Ability to interpret complex datasets and produce actionable insights. • Must know how to analyze the root cause of dashboard errors. • Have experience in ML Ops and have strong coding background. • Have experience with Natural Language Processing (NLP). • Knowledge or experience with A/B Testing. • Working knowledge of designing, training, and implementing machine learning models. • Familiarity with cloud-based infrastructure • Excellent communication and problem-solving skills. • 7 or more years of experience in data science and machine learning engineering. Additional Skills (Skills that are a plus, but not required) • Knowledge of statistical methods and experimental design.
• Key Responsibilities Advanced Analytics & Machine Learning o Design, develop, and optimize machine learning models (forecasting, classification, clustering). o Apply data mining techniques to uncover patterns and insights in large datasets. o Perform feature engineering, model validation, and performance tuning. o Explore and deploy modern AI and ML approaches to enhance automation and analytics. Data Preparation & Quality o Prepare structured and unstructured data for modeling and advanced analysis. o Develop scripts and tools for data cleansing, validation, and enrichment. o Collaborate with Data Engineering to maintain efficient data pipelines. o Identify data quality issues and propose remediation. Analytics, Insights & Reporting o Conduct deep-dive analyses to identify trends and improvement opportunities. o Communicate complex findings in clear, concise ways to technical and non-technical stakeholders. o Support the development of dashboards, metrics, and analytical solutions. Cross-Team Collaboration o Work with architects, engineers, and analysts to define analytical requirements. o Contribute to conceptual data model design and workflow optimization. o Promote best practices in machine learning, analytics, and data governance.
TECHNICAL SKILLS Must Have • A Bachelor's Degree in Computer Science or related field with at least 3-5 years' work experience in an enterprise IT environment. • Advanced SQL • Azure Databricks Data Engineer Associate Certificate • full-stack Python • Generative AI • Knowledge of statistical modeling and machine learning concepts • Machine Learning Operations • Power BI Dashboards • python Pyspark programming Nice To Have • Google Cloud BigQuery, Google Cloud Experience
Sprachkenntnisse
- English
Hinweis für Nutzer
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