Senior Data Scientist
Senior Data Scientist
Posted on :
17-05-2025
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1 Vacancy
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Job Description
We seek a Senior Data Scientist with expertise in traditional machine learning techniques strong mathematical skills and the ability to develop innovative business solutions. The ideal candidate will have experience applying machine learning models to solve realworld problems focusing on improving business outcomes through datadriven insights.
Key Responsibilities:
- Develop and implement machine learning models using traditional techniques such as decision trees random forests support vector machines and logistic regression.
- Analyze and process large datasets to identify trends patterns and insights that can drive business decisions.
- Collaborate with crossfunctional teams to understand business objectives and design ML solutions that meet organizational goals.
- Validate and finetune models to ensure accuracy scalability and performance in realworld applications.
- Use mathematical principles (e.g. statistics probability linear algebra) to enhance the effectiveness of models and algorithms.
- Continuously monitor and optimize machine learning systems for performance accuracy and relevance.
- Document processes model architectures and experiment results to communicate with both technical and nontechnical stakeholders.
Desired Skills and Qualifications:
- Traditional Machine Learning Expertise: Strong experience with classical ML models like decision trees kmeans clustering Naive Bayes SVMs etc.
- Mathematics and Statistics Proficiency: Solid foundation in mathematics especially in linear algebra calculus probability and statistics to support the development of accurate models.
- Business Solutioning Skills: Ability to translate business challenges into ML solutions and explain technical outcomes in a business context.
- Data Processing & Analysis: Proficient in data manipulation and feature engineering techniques using tools like Python.
- Programming Skills: Expertise in Python (pandas scikitlearn NumPy) with experience in building and deploying ML models.
- ProblemSolving & Critical Thinking: Strong analytical skills to assess various machine learning algorithms and select the best fit for business problems.
- Communication & Collaboration: Ability to work closely with business stakeholders to understand their needs and convey technical results effectively.
- Experience with ML Tools & Frameworks: Experience using ML libraries such as Scikitlearn XGBoost and LightGBM.
- Model Evaluation and Optimization: Familiarity with techniques like crossvalidation grid search and hyperparameter tuning to improve model accuracy.
- Business Acumen: Understanding of the business domain and the ability to apply ML in areas like customer segmentation forecasting and risk assessment.
Preferred Qualifications:
- Bachelors or Masters degree in Computer Science Data Science Mathematics or a related field.
- 3 years of experience working on machine learning projects particularly with traditional ML methods.
- Experience with business problemsolving and the ability to create impact through data insights.
- Familiarity with cloud platforms like AWS Azure or Google Cloud for ML deployment.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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