Lead Data Scientist
- Weaddo
- 4 - 9 years
- Noida, Gurugram
- 24 days ago
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Job Description
Job Overview
We are looking for a dynamic and innovative Full Stack Data Scientist with 45 years of experience who excels in end-to-end data science solutions. The ideal candidate is a tech-savvy professional passionate about leveraging data to solve complex problems, develop predictive models, and drive business impact in the MarTech domain.
Key Responsibilities
1. Data Engineering & Preprocessing
- Collect, clean, and preprocess structured and unstructured data from various sources.
- Perform advanced feature engineering, outlier detection, and data transformation.
- Collaborate with data engineers to ensure seamless data pipeline development.
2. Machine Learning Model Development
- Design, train, and validate machine learning models (supervised, unsupervised, deep learning).
- Optimize models for business KPIs such as accuracy, recall, and precision.
- Innovate with advanced algorithms tailored to marketing technologies.
3. Full Stack Development
- Build production-grade APIs for model deployment using frameworks like Flask, FastAPI, or Django.
- Develop scalable and modular code for data processing and ML integration.
4. Deployment & Operationalization
- Deploy models on cloud platforms (AWS, Azure, or GCP) using tools like Docker and Kubernetes.
- Implement continuous monitoring, logging, and retraining strategies for deployed models.
5. Insight Visualization & Communication
- Create visually compelling dashboards and reports using Tableau, Power BI, or similar tools.
- Present insights and actionable recommendations to stakeholders effectively.
6. Collaboration & Teamwork
- Work closely with marketing analysts, product managers, and engineering teams to solve business challenges.
- Foster a collaborative environment that encourages innovation and shared learning.
7. Continuous Learning & Innovation
- Stay updated on the latest trends in AI/ML, especially in marketing automation and analytics.
- Identify new opportunities for leveraging data science in MarTech solutions.
Qualifications
Educational Background
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Technical Skills
- Programming Languages: Python (must-have), R, or Julia; familiarity with Java or C++ is a plus.
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn, or XGBoost.
- Big Data Tools: Spark, Hadoop, or Kafka.
- Cloud Platforms: AWS, Azure, or GCP for model deployment and data pipelines.
- Databases: Expertise in SQL and NoSQL (e.g., MongoDB, Cassandra).
- Visualization: Mastery of Tableau, Power BI, Plotly, or D3.js.
- Version Control: Proficiency with Git for collaborative coding.
Experience
- 45 years of hands-on experience in data science, machine learning, and software engineering.
- Proven expertise in deploying machine learning models in production environments.
- Experience in handling large datasets and implementing big data technologies.
Soft Skills
- Strong problem-solving and analytical thinking.
- Excellent communication and storytelling skills for technical and non-technical audiences.
- Ability to work collaboratively in diverse and cross-functional teams.
Preferred Qualifications
- Experience with Natural Language Processing (NLP) and Computer Vision (CV).
- Familiarity with CI/CD pipelines and DevOps for ML workflows.
- Exposure to Agile project management methodologies.Role & responsibilities
Preferred candidate profile
Job Classification
Industry: Advertising & Marketing (Digital Marketing)Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: WeaddoLocation(s): Noida, Gurugram
Keyskills: Data Engineering Cloud Devops Machine Learning Devops Automation Visualizing
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