FULLTIME
Data Scientist
WhitePapers Launch - Top 1% Companies
Not specified · onsite · Posted 1d ago
Sourced from
Undisclosed1–5 yrsfulltimeNot specified
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
Job Description – Data ScientistRole Overview We are looking for a Data Scientist who can build predictive models, apply machine learning techniques, and solve complex business problems using data. The ideal candidate should have strong statistical knowledge, programming expertise, and experience working with structured and unstructured data. Key ResponsibilitiesData Science & Machine Learning
- Develop machine learning and predictive models.
- Build classification, regression, clustering, and forecasting solutions.
- Perform feature engineering and model optimization.
- Evaluate and improve model performance. Data Exploration
- Analyze structured and unstructured datasets.
- Identify patterns, trends, and business opportunities.
- Perform exploratory data analysis (EDA).
- Develop hypotheses and validate them using statistical techniques. Model Deployment
- Deploy machine learning models into production.
- Monitor model performance and retrain models when required.
- Collaborate with engineering teams for deployment.
- Maintain model documentation and version control. AI & Advanced Analytics
- Work with NLP, Generative AI, Computer Vision, or Recommendation Systems where applicable.
- Research and evaluate new algorithms and technologies.
- Apply AI techniques to solve real-world business challenges. Required Skills
- Python (Pandas, NumPy, Scikit-learn).
- Machine Learning and Deep Learning fundamentals.
- SQL and database querying.
- Statistics and probability.
- TensorFlow, PyTorch, or similar frameworks.
- Data visualization tools.
- Strong mathematical and analytical skills. Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
- 1–5 years of experience in Data Science or Machine Learning.
- Strong academic projects or research experience will also be considered. Key Performance Indicators (KPIs)
- Model accuracy and performance.
- Business impact of predictive models.
- Successful deployment of AI solutions.
- Reduction in manual decision-making through automation.
- Quality and scalability of machine learning models. What We're Looking For
- Strong problem-solving ability.
- Research-oriented mindset.
- Passion for AI and Machine Learning.
- Continuous learning attitude.
- Ability to translate complex data into business value.
Sourced from linkedin · view original
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
PythonSQLMachine LearningPytorchTensorflowScikit-LearnPandasNumpyData VisualizationDeep LearningGenerative AiNatural Language ProcessingstatisticsProgrammingdata visualization toolsComputer Visionfeature engineeringModel DeploymentprobabilityModel OptimizationRecommendation Systemspredictive models