Data Scientist
Posted Updated
Description
Targeticon Digital Services Pvt. Ltd.
Job Title: Data Scientist
Location: Noida, Sector-62 (on-site/hybrid)
Employment Type: Full-time
Experience Required: 5 - 8 years
About Us:
Targeticon Digital Services Pvt. Ltd. is a Noida-based software company delivering custom software development, web/mobile applications, and IT consulting solutions to clients across industries.
Role Overview:
We are looking for an experienced Data Scientist to design, build, and deploy machine learning models and data-driven solutions that solve real business problems for our clients. The ideal candidate combines strong statistical and ML fundamentals with hands-on engineering skills and the ability to translate business requirements into scalable, production-ready solutions.
Key Responsibilities:
- Design, build, and deploy machine learning and statistical models to solve client business problems.
- Work with cross-functional teams to understand client requirements and translate them into data science solutions.
- Perform data extraction, cleaning, preprocessing, and exploratory data analysis on large, complex datasets.
- Develop and validate predictive models, classification/clustering algorithms, and recommendation systems.
- Build and maintain data pipelines in collaboration with data engineering teams.
- Deploy models into production environments and monitor performance, retraining as needed.
- Apply NLP, computer vision, or deep learning techniques where relevant to project needs.
- Communicate findings, model results, and business insights clearly to technical and non-technical stakeholders.
- Contribute to proposal writing and solutioning for client RFPs involving AI/ML/data science components.
- Stay current with the latest advancements in ML/AI research and evaluate their applicability to client projects.
- Mentor junior data scientists/analysts and contribute to best practices and internal knowledge sharing.
Requirements:
- 5 - 8 years of experience in data science, machine learning, or applied statistics, preferably in an IT services/consulting environment.
- Strong proficiency in Python and/or R, with hands-on experience in libraries such as scikit-learn, pandas, NumPy, TensorFlow, or PyTorch.
- Solid understanding of statistics, probability, and machine learning algorithms (regression, classification, clustering, ensemble methods, etc.).
- Experience with SQL and working with large/structured and unstructured datasets.
- Hands-on experience deploying models to production (APIs, MLOps tools, cloud platforms like AWS/Azure/GCP).
- Experience with data visualization tools (Power BI, Tableau, Matplotlib/Seaborn, etc.).
- Strong problem-solving skills and ability to work directly with client stakeholders.
- Excellent communication skills to present technical findings to non-technical audiences.
- Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Nice to Have:
- Experience with NLP, computer vision, or generative AI/LLM-based solutions.
- Familiarity with big data tools (Spark, Hadoop) and MLOps frameworks (MLflow, Kubeflow, Airflow).
- Experience working on client-facing IT services/consulting projects.
- Relevant certifications in data science, ML, or cloud platforms.
Skills
- AI
- Airflow
- API
- AWS
- Azure
- Big Data
- Cloud
- Computer Vision
- Data Engineering
- Data Pipelines
- Data Science
- Data Visualization
- Deep Learning
- GCP
- Generative AI
- Hadoop
- Kubeflow
- LLM
- Machine Learning
- Matplotlib
- MLflow
- MLOps
- NLP
- NumPy
- pandas
- Power BI
- Python
- PyTorch
- Recommendation Systems
- scikit-learn
- Seaborn
- Spark
- SQL
- Statistics
- Tableau
- TensorFlow