Job Description

What you will do:

Design and operationalize various kinds of descriptive, predictive and prescriptive analytics and data science relevant in the planning space. Understand business; identify areas of improvement opportunities; collect and analyze data; build models in R/Python; and present results & insights using the o9 platform.
Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
Develop and deploy models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
Use latest advancements in AI/ML to solve business problems
Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
Application of common business metrics and the ability to generate new ones as needed
Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects

What you should possess:

Mandatory:

2+ years of experience in the field of Data Science and Analytics
Strong programming skills and experience in using Python and/or R for Data Science
Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed
Deep Knowledge of statistical and machine learning algorithms
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
Experience in building scalable ML frameworks for demand sensing including Identifying and collecting relevant input data, feature engineering, tuning, and testing.
Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
Strong presentation and communications skills
Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field

Nice to have:

Experience with SQL, databases and ETL tools or similar is optional but preferred
Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Bid Data technologies
Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable but not essential
Experience in implementing supply chain planning applications will be a plus

About algoleap

Algoleap is a truly AI- and cloud-native product engineering firm, specializing in AI-driven business transformation, product engineering, data and service management, enterprise applications, and supply chain solutions.

Our expertise spans across:

Artificial Intelligence (AI)

Supply Chain Consulting

Food and AgriTech

End-to-End Business Transformation

Customer Experience (CX) and Product Design

We are a born-digital company partnering with a mix of Fortune 500 enterprises and well-funded unicorn start-ups, supporting them in their large-scale transformation initiatives.

At Algoleap, we bring together a growing team of top engineering talent, delivering mission-critical capabilities through design-thinking-led enterprise architecture, best-in-class engineering practices, and managed innovation. At the core of our business are our people and our customers, who continue to drive our purpose and progress.

For more information, please visit www.algoleap.com or write to us at info@algoleap.com.

Industry

IT & Software

Company Size

501-1,000 employees

Headquarters

Hyderabad, IN

Year Founded

2021

Website

algoleap.com

Social Media

Data Scientist

Job Description

About algoleap