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  • Posted a month ago
  • Over 200 applicants
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Job Description

  • Problem Definition: Partner with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics.
  • Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency, and engineer features to enhance model performance.
  • Exploratory Data Analysis (EDA): Use statistical methods and visualization to uncover trends and validate assumptions, summarizing key insights for business alignment.
  • Model Building and Evaluation: Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions.
  • Deployment and Monitoring: Work with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy.
  • Requirements:
  • Bachelor s/Master s in Data Science, Statistics, Computer Science, or related field.
  • Experience in end to end model development to deployment and performance monitoring.
  • Strong communication skills to convey insights to technical and non-technical audiences.
  • Skills Needed:
  • Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP
  • Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection.
  • In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc.
  • Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts.
  • Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack
  • Good to have experience in model deployment to cloud/on-prem.
  • Good Communication & presentation skills.

More Info

Job Type:
Employment Type:
Open to candidates from:
Indian

About Company

We are trusted digital product engineering partner, enabling organizations to embrace the digital revolution and stay ahead of the competition. With our deep industry knowledge, agile methodologies, and a relentless pursuit of excellence, we collaborate with businesses to engineer digital solutions that drive operational efficiency, enrich customer experiences, and unleash growth potential.

Job ID: 119027115

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