Senior Data Scientist

About Tredence: Tredence is a global leader in analytics services and solutions, consistently recognized as one of the fastest-growing private companies on the Inc. 5000 list for three consecutive years. We stand out in the data analytics and data science industry by attracting top talent and delivering scalable, cost-effective solutions in data visualization, management, advanced analytics, big data, and machine learning. Our expertise includes building scalable big data solutions across On-premises, GCP, and Azure platforms. Additionally, we offer pre-built analytics solutions in data mining, BI, and Big Data.

Roles and Responsibilities: As an Associate Manager - Senior Data Scientist specializing in Demand Forecasting, you will be instrumental in solving critical business problems related to demand planning and supply chain optimization. Using AI and ML technologies, you will collaborate with business partners and domain experts to develop innovative solutions that help clients predict demand and optimize resources effectively.

• Collaborate with clients to understand business goals, translate demand forecasting challenges into analytical frameworks, and design effective solutions.
• Develop custom demand forecasting models based on deep knowledge of client data, business processes, and industry best practices.
• Apply machine learning techniques such as time series analysis, regression models, and deep learning for accurate demand predictions.
• Build repeatable, interpretable, and scalable models for demand forecasting that can be easily deployed in client environments.
• Work with cross-functional teams to implement forecasting solutions and integrate them into clients' existing systems.
• Communicate forecasting methodologies, insights, and results to business stakeholders in a clear and actionable manner.
• Collaborate with data engineers, analysts, and leadership at Tredence and client organizations to enhance forecasting accuracy and improve overall business outcomes.
• Continuously monitor and refine models to ensure they remain accurate and adaptable to changing market conditions.

Qualification:

• Bachelor's or Master's degree in a quantitative field (Computer Science, Machine Learning, Mathematics, Statistics, or a related field), or equivalent experience.
• 5+ years of experience in data science with hands-on expertise in developing and deploying machine learning models.
• Proven experience in demand forecasting, including time series forecasting and predictive modeling.
• Strong programming skills in Python, including proficiency with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and Keras.
• Advanced proficiency in SQL, with experience working with SQL Server, Spark, and big data platforms.
• Solid understanding of predictive and prescriptive analytics, including machine learning (supervised and unsupervised learning), deep learning, and neural networks.
• Experience in handling large datasets and implementing advanced forecasting techniques, including ARIMA, Prophet, and LSTM models.
• Strong background in Natural Language Processing (NLP) and text analytics (optional but beneficial for working with unstructured data).
• Excellent verbal and written communication skills, with the ability to present technical solutions and results to a non-technical audience.
• Familiarity with data visualization tools such as PowerBI, Tableau, or R Shiny to present forecasting insights effectively.
• Experience working with cloud platforms like Azure, AWS, or GCP is preferred but not required.

Why Tredence: Join us to work in a fast-paced, innovative environment where you will have the opportunity to shape the future of demand forecasting and make a significant impact on our clients' success.