We are seeking a highly skilled Data Scientist to analyze complex datasets, build predictive models, and deliver data-driven insights that support strategic business decisions. The ideal candidate has strong expertise in programming, machine learning, statistics, big data technologies, and cloud platforms, along with excellent communication skills to translate technical findings into actionable insights.
Key Responsibilities
Analyze large, complex datasets to identify trends, patterns, and actionable insights
Develop, test, and deploy machine learning and statistical models
Perform data cleaning, preprocessing, and feature engineering to ensure high-quality data
Build predictive and classification models using machine learning algorithms
Design and implement deep learning models using frameworks such as TensorFlow or PyTorch
Create interactive dashboards and visualizations using Tableau or Power BI
Work with big data tools such as Hadoop and Apache Spark to process large-scale data
Deploy and monitor models in production environments
Utilize cloud platforms (AWS, GCP, or Azure) for scalable data processing and model deployment
Collaborate with cross-functional teams including engineering, product, and business stakeholders
Communicate insights and recommendations clearly to technical and non-technical audiences
Required Skills & Qualifications
Proficiency in
Python and/or R
for data analysis and modeling
Strong knowledge of
SQL
for data querying and manipulation
Solid understanding of
statistics, probability, and hypothesis testing
Hands-on experience with
machine learning algorithms
(regression, classification, clustering, etc.)
Experience with
deep learning frameworks
such as TensorFlow, PyTorch, or Keras
Expertise in
data cleaning, transformation, and feature engineering
Proficiency in
data visualization tools
like Tableau or Power BI
Experience with
big data technologies
(Hadoop, Spark)
Familiarity with
cloud platforms
(AWS, GCP, or Azure)
Experience with
model deployment and MLOps pipelines
Strong
analytical thinking, problem-solving, and communication skills
Preferred Qualifications
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
Experience working in production-grade machine learning systems
Knowledge of version control tools (Git)
Understanding of data governance, security, and best practices
Why Join Us
Opportunity to work on real-world, high-impact data problems
Collaborative and innovation-driven work environment
Exposure to cutting-edge technologies and cloud-based solutions
Competitive compensation and professional growth opportunities
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