Be an active part of the development team by writing clean, concise, and well-documented code
Define and execute strategies to gather relevant and high-quality data
Clean, transform, and organize raw data to make it suitable for analysis
Analyze data to identify patterns, trends, and actionable insights
Develop and implement models to forecast trends, behaviors, and outcomes
Create visual representations such as graphs and charts to present insights clearly
Use version control, continuous integration, and deployment practices to streamline the development process
Collaborate with QA engineers and cross-functional team members to ensure high-quality deliverables
Document development processes, workflows, and model implementations for future reference
Promote a culture of knowledge sharing, collaboration, and continuous learning within the team
Guide, mentor, and support junior team members by providing constructive feedback
Encourage innovation, experimentation, and creative problem-solving across the team
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Essential Requirements:
Technical Skills
Strong knowledge of
Statistics and Mathematics
Proficiency in
Python, SQL, and R
Hands-on experience with
Machine Learning algorithms
Experience using
TensorFlow, PyTorch, and Scikit-learn
Expertise in
Data Cleaning, Transformation, and Preprocessing
Experience with
Data Mining and Predictive Modeling
Strong understanding of
Machine Learning and Deep Learning techniques
Knowledge of
Neural Networks
and deep learning architectures
Experience with
Natural Language Processing (NLP)
for textual data analysis
Working knowledge of
Cloud Computing platforms
: AWS, Azure, or Google Cloud
Experience using
Git
for version control
Knowledge of
Containerization and Orchestration
(Docker, Kubernetes - preferred)
Soft Skills
Strong curiosity and problem-solving mindset
Excellent communication skills (verbal and written)
Ability to work effectively in a collaborative team environment
* Willingness to learn and adapt to new technologies
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