Search by job, company or skills

AlgoLeap

Senior Data Scientist

Save
  • Posted 8 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Job Description

O9 Exposure Mandatory

Retail - Demand Planning

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

Mandatory

What you should possess:

  • 4+ 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

More Info

Job Type:
Industry:
Employment Type:

About Company

Job ID: 148987225

Similar Jobs

Bengaluru, India

Skills:

Computer VisionKafkaSqlDeep LearningNlpDockerSparkKubernetesPythonAirflowreinforcement learningCloud AI servicesRAG

Bengaluru, India

Skills:

Machine LearningNlpData MiningApache SparkInformation RetrievalPythonStatistical AnalysisDeep Learning

Bengaluru, India

Skills:

regression models snowflake UnixGithubPysparkNlpPytorchPythonAWSSqlDeep LearningGitPandasLinuxSparkDecision TreesDatabricksAzureVS CodeMatrix FactorizationContent-Based FilteringTime-Series ForecastingNeural Collaborative FilteringLLMsSegmentation techniquesScikit-learnUnsupervised Clusteringcollaborative filtering

Bengaluru, India

Skills:

DockerKubernetesPythonSqlLogistic RegressionDeep Learningmodel evaluation frameworksLLM orchestrationanomaly detectiontime-series forecastingClassification

Bengaluru, India

Skills:

Data ScienceMachine LearningGenerative AISimulationOptimization