Data Scientist

Wissen Technology is Hiring for Data Scientist

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindsetensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don't just meet expectationswe exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impactthe first time, every time.

JobSummary: We are looking for a highly skilled Senior Data Scientist with deep expertise in AI/ML techniques for Time Series Forecasting. The candidate will design, develop, and deploy advanced predictive models for large-scale forecasting use cases such as retail itemlocation level demand forecasting.

This role will contribute to end-to-end model development, from research and experimentation to production deployment, while collaborating with cross-functional teams including data science, engineering, and product.

The position also offers exposure to a broad spectrum of data science domains including predictive modeling, personalization, recommendation systems, NLP, search ranking, optimization, and supply chain analytics.

KeyResponsibilities:

• Develop, maintain, and optimize Machine Learning (ML) forecasting models to improve accuracy and scalability
  
• Work closely with data scientists, data engineers, and business teams to translate requirements into scalable and maintainable solutions
  
• Research and evaluate state-of-the-art ML and deep learning techniques relevant to forecasting and optimization
  
• Build end-to-end ML workflows including feature engineering, model training, validation, deployment, and monitoring
  
• Follow coding standards, version control best practices, and documentation guidelines
  
• Contribute to the design and development of scalable data pipelines and ML infrastructure
  
• Monitor model performance and implement strategies for drift detection, retraining, and continuous improvement
  
  

Requirements:

• Bachelor's degree in computer science, Data Science, Mathematics, or a related technical field
  
  
• 58 years of experience in Data Science OR 3+ years of direct experience in developing forecasting solutions
  
• Strong knowledge of forecasting techniques including:
  
• Time Series: ARIMA, SARIMA, Prophet
  
• Machine Learning: GLM, GBDT, XGBoost
  
• Hierarchical Models: TopDown, BottomUp
  
• Deep Learning: Seq2Seq, Transformers, LSTM/GRU
  
• Ensemble methods
  
• Hands-on experience with end-to-end ML development, from data preparation to productionization
  
• Experience with ML platforms/tools such as MLflow, Kubeflow, Databricks, or equivalents
  
• Strong background in Big Data tools & distributed computing:
  
• Spark, Hadoop ecosystem, Airflow, Druid, Superset
  
• Expertise in Python, Spark, and SQL
  
• Experience with Git, Bitbucket, CI/CD, and version control practices
  
• Familiarity with ML monitoring and model performance evaluation tools
  
  

Good To Have Skills:

• Experience optimizing, debugging, and fine-tuning ML models in distributed systems
  
  
• Understanding of forecasting at scale for retail, supply chain, demand planning, or capacity planning domains
  
• Exposure to optimization techniques and mathematical programming (e.g., linear programming, network flows)
  
• Knowledge of NLP, recommendation models, ranking algorithms, or search optimization
  
• Experience with cloud platforms (Azure, AWS, GCP) for ML deployment
  
• Excellent analytical, problemsolving, and communication skills
  
  

Wissen Sites:

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology