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Data Science+Gen ai-Con / Sn.Con / Man / AD

Data Science+Gen ai-Con / Sn.Con / Man / AD

Talent WorxGurugram, HR, IN
2 days ago
Job type
  • Quick Apply
Job description

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions

  • Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects
  • Influence machine learning strategy for Digital programs and projects
  • Make solution recommendations that appropriately balance speed to market and analytical soundness
  • Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
  • Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow)
  • Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
  • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
  • Create algorithms to extract information from large, multiparametric data sets.
  • Deploy algorithms to production to identify actionable insights from large databases.
  • Compare results from various methodologies and recommend optimal techniques.
  • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
  • Develop and embed automated processes for predictive model validation, deployment, and implementation
  • Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
  • Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
  • Lead discussions at peer review and use interpersonal skills to positively influence decision making
  • Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices
  • Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Requirements

Bachelor of Science or Bachelor of Engineering at a minimum.

  • 4+ years of work experience as a Data Scientist
  • A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
  • Advanced skills with statistical / programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop / Hive, Scala)
  • Good hands-on skills in both feature engineering and hyperparameter optimization
  • Experience producing high-quality code, tests, documentation
  • Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
  • Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
  • Proficiency in statistical concepts and ML algorithms
  • Good knowledge of Agile principles and process
  • Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
  • Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
  • Self-motivated and a proactive problem solver who can work independently and in teams
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