Senior Data Scientist

o9 Solutions, Inc.; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Benefits offered by this job

Stock options

Flat organization

Global exposure

Travel on projects

Job summary

o9 Solutions, Inc. in Bengaluru seeks a data science specialist to advance time series forecasting and ML-driven optimization.

You will build scalable models for demand sensing and supply planning, collaborating with clients, PMs, solution architects and data engineers to deliver complex projects end-to-end. The role requires 3+ years in time series and statistics, strong Python and/or R skills, and a solid background in statistics.

Qualifications

• 3+ years of experience in time series forecasting at scale using heuristic-based hierarchical models.
• Experience in applied analytical methods for supply chain and planning.
• Background in statistics is required.
• Bachelor's degree in CS/Math/Stats/Engineering or related field.
• Proficiency in Python and/or R for data science.
• Strong knowledge of ML algorithms, feature engineering, tuning and testing.
• Independent thinker with good presentation and communication skills.

Responsibilities

• Apply ML techniques to forecasting, anomaly detection, and optimization problems.
• Develop/optimize models for demand sensing and supply planning.
• Collaborate with clients, PMs, solution architects, data engineers to deliver projects.
• Analyze problems, compare methods, and document assumptions.
• Integrate models with web services for real-time data exchange.
• Present results clearly to stakeholders.

Skills

Time series forecasting

Statistical modeling

Python

R

ML algorithms

Feature engineering

Data visualization

Education

Bachelor's degree in CS/Math/Stats/Engineering

Master's degree preferred

Tools

SQL

Hadoop

Spark

Gurobi

Keras/TF/PyTorch

Job description

What you’ll do for us:

• 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/or optimize 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 (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
• Develop or optimize modules to call web services for real time integration with externa systems
• Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects

What you’ll have:

• Experience: 3+ Years of 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 applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
• Should be from a statistical background.
• Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
• Languages: Python and/or R for Data Science
• Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
• Characteristics: Independent thinkers Strong presentation and communications skills
• We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.

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 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
• Understanding of Supply Chain Concepts will be preferable
• Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field

What we’ll do for you

• Competitive salary with stock options to eligible candidates
• Flat organization: With a very strong entrepreneurial culture (and no corporate politics)
• Great people and unlimited fun at work
• Possibility to make a difference in a scale-up environment.
• Opportunity to travel onsite in specific phases depending on project requirements.
• Support network: Work with a team you can learn from everyday.
• Diversity: We pride ourselves on our international working environment.
• Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared