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Data Scientist
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Data Scientist
Webkit24This job is no longer accepting applications
Job Description
Key Responsibilities
- Analyze large datasets to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Collaborate with product, engineering, and marketing teams to implement data-driven strategies
- Identify opportunities for data acquisition and automation of data processes
- Create clear visualizations and dashboards using tools like Power BI, Tableau, or Python libraries
- Maintain documentation of processes, models, and project results
Required Skills & Qualifications
- Bachelors or Masters in Computer Science, Statistics, Mathematics, or related field
- 25 years of experience as a Data Scientist or similar role
- Proficiency in Python or R for statistical analysis and machine learning
- Strong knowledge of SQL for data querying
- Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus
- Excellent problem-solving, critical thinking, and communication skills
- Preferred Qualifications
- Experience with NLP, Deep Learning, or AI model deployment
- Hands-on experience with frameworks like Scikit-learn, TensorFlow, or PyTorch
- Experience working in remote or distributed teams
More Info
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About Company
Skills:
Machine Learning, Pyspark, Sql, Deep Learning, Tensorflow, Nlp, Pytorch, Gcp, MLops, Spark, Azure, Python, AWS, Generative AI, LLMs, Statistical Modeling
Skills:
Predictive Modeling, Amazon Web Services, Requirements Analysis, Agile Software Development, Data Mining, Big Data, Microsoft Azure, Programming, SQL query language, Statistical Modeling
Skills:
Data Transformation, Python Programming, logic-based workflows, data pipeline development, SQL proficiency, Dataiku, analytics and data manipulation competencies, Excel-like analytical methods
Skills:
Machine Learning, Clustering, Sql, Deep Learning, Neural Networks, Predictive Modeling, Python, Decision Trees, Ai, Ensemble methods, Model training, Feature engineering, Data ingestion, Responsible AI, Explainable AI
Skills:
data preparation , Sql, Python, Machine Learning, Agile Development, Data Manipulation, Natural Language Processing, Clustering, Statistical Analysis, ML Ops, Azure AI Search, anomaly detection, UNIX Command Line, Classification, Model Evaluation