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Open nowPosted 409 days ago

DTICI_Senior Data Science engineer_T8 II 950

Codersbrain

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Your applicationOpen nowDTICI_Senior Data Science engineer_T8 II 950Codersbrain

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This job: posted 409 days ago

The posting

Senior Data Science Engineer

Company Overview

\[Company overview was not provided in the original description.\]

Job Summary

We are looking for a Senior Data Science Engineer to join our Advanced Analytics and Big Data Team. The main purpose of this role is to generate insights that enable data-driven decision making within the finance and financial services domain.

Responsibilities

  • Problem Definition: Collaborate 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 data quality and consistency, while engineering features to enhance model performance.
  • Exploratory Data Analysis (EDA): Utilize statistical methods and visualization techniques 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 alongside engineering teams to deploy models, establish performance monitoring, retrain models as necessary, and incorporate feedback to improve accuracy.

Qualifications

- Educational Background: Graduated with a B.Tech/M.Tech in a quantitative Statistics from a top-rated university. - Technical Skills:\ Strong experience in Statistics\ ML/DL/Optimization+Gen AI(U can look for profiles into Statististics as a part of curriculum Eg.BSc/MSc statistics or Econometrics - Experience: Minimum of 4-7 years of relevant experience focusing on advanced analytics and big data. - Model Development: Proven experience in end-to-end model development to deployment and performance monitoring. - Technical Skills: - Strong knowledge of Applied AI, Machine Learning (ML), and Deep Learning techniques. - Proficient in at least one programming language, preferably Python or PySpark. - Deep knowledge of machine learning algorithms including tree-based methods, clustering, regression, and classification techniques. - In-depth understanding of statistical concepts such as probability distributions, statistical tests, correlation analysis, and descriptive statistics. - Communication Skills: Excellent communication skills to convey insights clearly to both technical and non-technical audiences. - Stakeholder Management: Ability to manage different stakeholders and handle multiple projects simultaneously. - Problem Solving: Strong analytical skills to transform business problems into data science problems.

Preferred Skills

  • Advanced experience with Spark, Databricks, or the Azure technical stack.
  • Experience with model deployment to cloud or on-premises environments.
  • Good communication and presentation skills.

Experience

- Minimum of 4-7 years of relevant experience in data science, focusing on end-to-end data analysis and model building.

Environment

\[Typical work setting or location details were not provided in the original description.\]

Salary

\[Salary information was not provided in the original description.\]

Growth Opportunities

\[Information regarding growth opportunities was not provided in the original description.\]

Benefits

\[Information regarding benefits offered was not provided in the original description.\]

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