Data Scientist
- Randomtrees
- 2 - 6 years
- Chennai
- 3 days ago
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Job Description
Job Summary: We are seeking a highly skilled and passionate Data Scientist with 3-6 years of experience to join our dynamic team in Chennai. The ideal candidate will possess a strong background in machine learning and deep learning methodologies, coupled with expert-level proficiency in PySpark and SQL for large-scale data manipulation and analysis. You will be instrumental in transforming complex data into actionable insights, building predictive models, and deploying robust data-driven solutions that directly impact our business objectives.
Key Responsibilities:
- Data Analysis & Feature Engineering:
- Perform extensive exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large, complex datasets.
- Develop and implement robust data preprocessing, cleaning, and feature engineering pipelines using PySpark and SQL to prepare data for model training.
- Work with structured and unstructured data, ensuring data quality and integrity.
- Model Development & Implementation (Machine Learning & Deep Learning):
- Design, develop, and implement advanced Machine Learning (ML) and Deep Learning (DL) models to solve complex business problems, such as prediction, classification, recommendation, and anomaly detection.
- Apply a wide range of ML algorithms (e.g., Regression, Classification, Clustering, Ensemble methods) and DL architectures (e.g., CNNs, RNNs, Transformers) as appropriate for the problem at hand.
- Optimize and fine-tune models for performance, accuracy, and scalability.
- Experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
- Big Data Processing:
- Leverage PySpark extensively for distributed data processing, ETL operations, and running machine learning algorithms on big data platforms (e.g., Hadoop, Databricks, Spark clusters).
- Write efficient and optimized SQL queries for data extraction, transformation, and loading from relational and non-relational databases.
- Deployment & MLOps:
- Collaborate with MLOps engineers and software development teams to integrate and deploy machine learning and deep learning models into production environments.
- Monitor model performance, identify degradation, and implement retraining strategies to ensure sustained accuracy and relevance.
- Contribute to building CI/CD pipelines for ML model deployment.
- Insights & Communication:
- Translate complex analytical findings and model results into clear, concise, and actionable insights for both technical and non-technical stakeholders.
- Create compelling data visualizations and reports to effectively communicate findings and recommendations.
- Act as a subject matter expert, guiding business teams on data-driven decision-making.
- Research & Innovation:
- Stay abreast of the latest advancements in data science, machine learning, deep learning, and big data technologies.
- Proactively identify opportunities to apply new techniques and tools to enhance existing solutions or develop new capabilities.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 3-6 years of hands-on experience as a Data Scientist or in a similar role.
- Expert proficiency in Python for data science, including libraries such as Pandas, NumPy, Scikit-learn.
- Strong expertise in PySpark for large-scale data processing and machine learning.
- Advanced SQL skills with the ability to write complex, optimized queries for data extraction and manipulation.
- Proven experience in applying Machine Learning algorithms to real-world problems.
- Solid understanding and hands-on experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch) and architectures.
- Experience with big data technologies like Hadoop or Spark ecosystem.
- Strong understanding of statistical concepts, hypothesis testing, and experimental design.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: RandomtreesLocation(s): Chennai
Keyskills: Pyspark Machine Learning Deep Learning SQL
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