Data Scientist - Architect

Description

Data Scientist - Architect
algoleap • Coimbatore, Tamil Nadu
Full–time

Job description
Algoleap is one of the fastest growing digital engineering services company based out of Hyderabad working with many fortune 1000 customers in transforming their digital landscape.

At Algoleap, we believe that a truly innovative and successful workplace is one where diversity, equity, and inclusion thrive. We are dedicated to building a team that celebrates unique perspectives and experiences, fostering an environment where everyone is empowered to succeed. Algoleap offers compelling full-time roles designed to help you grow and excel. Our positions come with flexible options, including onsite and hybrid roles, allowing our team members to work closely with our clients and make a direct impact on the engagements at the same time offering great work life balance.

Job Description :

As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python. These models will have used cases for Demand Planning, Supply Planning, Market Mix Modeling, Price Elasticity, New Product Planning, Store Assortment, Market Optimization, and more!

You will be key in understanding the customers supply chain problems, designing solutions, developing, and deploying models, validating, and maintaining those models.

A successful candidate will bring a Master’s in Computer Science, Mathematics, Statistics, Economics, Engineering and 10+ years of experience in hands-on modeling in R or Python, in a supply chain forecasting capacity. You will enjoy working directly with customers and our larger o9 Data Science team in India, EMEA and North America.

What you’ll do for us :
• Research, design, build, deploy, and validate new and existing machine learning models and predictive analytics for advanced forecasting in supply chain demand planning that will drive our customers growth from insights that are allow for better decision making
• Conduct thorough EDA to understand data patterns, detect anomalies, and identify key factors influencing supply chain dynamics. Utilize statistical and visualization tools to summarize and communicate findings effectively.
• Develop and enforce robust project implementation methodologies and best practices. Ensure consistency and accuracy in deployment across various projects.
• Collaborate with customers and internal teams to understand business requirements and translate them into technical specifications. Conduct workshops and meetings to gather comprehensive requirements and align on project goals.
• Integrate real-world learnings into o9’s product development cycle.
• Decide on the appropriate data architecture and analytical approach based on the scope of data and the specific business problem.
• Apply a variety of machine learning techniques (clustering, regression, GBMs, neural nets, time series, optimizations etc.) to their real-world advantages / drawbacks for insights internally and externally
• Collaborate with solution architects, business operations specialists, engineers, data scientists, product managers, and internal / external business teams to make sure the models are aligned with business objectives and customer needs
• Provide visualization of complex data sets that includes mathematical models, algorithms, and robust analytics
• Present data summary, EDA results, actionable insights, and modeling results, to stakeholders, including senior management and external clients.
• Be a storyteller to explain the “why and how’” of your data driven recommendations to cross-functional teams and customers
• Guide junior data scientists and oversee their activities to ensure proper alignment / execution of their activities, and maintain high coding standards and best practices within organization

What you’ll bring :
• Experience : 10+ years of data science and data analytics experience.
• 3+ years’ experience in o9 supply chain planning analysis that specialize in : Demand Planning, Predictive Analysis, Demand Forecasting, Supply Planning, Inventory Market Optimization, Store Segmentation, Market Mix Optimization, New Product Planning, or similar.
• Experience in building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning, and testing.
• Experience developing experimental and analytics plans for data modeling processes with the ability to accurately determine and resolve problems
• Experience gathering data requirements for statistical predictive analytics research that drives market research, product innovation, and implementation in a supply chain space
• Strong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical background
• Experience in time series forecasting in scale using heuristic based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning
• Education : Master’s in Computer Science, Mathematics, Statistics, Economics, Engineering, or related field. PhD is preferred.
• Skills : R, Python, Pyspark, Machine Learning, SQL, building models in platforms like Power BI or Tableau
• Characteristics : You thrive in a fast paced, challenging environment, where this is much white space and problem solving is at the heart of what drives your analysis

Preferred Experience :
• Exposure to distributed data / computing tools : Map / Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
• Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
• Experience in implementing planning applications will be a plus

Why Join Us :
• Opportunity to work with cutting-edge technology in a collaborative and fast-paced environment.
• Competitive salary and benefits package.
• Work with a team that values innovation, automation, and continuous improvement.
• Career growth opportunities in an expanding engineering organization

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