Associate Data Scientist - Forecasting

2 - 7 years

5 - 9 Lacs

Posted:6 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Amgen is seeking a n Associate Data Scientist to develop, design and deploy AI enabled forecasting models . You will apply technical expertise from data ingestion to model deployment to scale forecasting models across R&D, Manufacturing, and Commercial for critical needs .
You will manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand . The Associate Data Scientist should be familiar with moving models from development to production and have a good sense for tracking and updating model performance.

Roles & Responsibilities:

  • Integ ral part of a high performing team of data scientists and engineers looking to translate m achine l earning algorithms into effective solutions focused on forecasting
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify patterns and anomalies
  • Assist in d evelop ment of high-performance forecasting algorithms , prototypes, predictive models, and proof of concepts using a cutting-edge technical stack
  • Develop analytics pipelines leveraging MLOps practices
  • Collaborate with data engineers on data quality assessment, data cleansing, and the development of operational data pipelines
  • Further build the team by contributing ideas and standard methodologies, and keeping abreast of developments in industry and academia
  • Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels
  • Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
  • Share and discuss findings with team members and stakeholders

Must-Have Skills:

  • Experience in analyzing time-series data for forecasting and trend analysis
  • P roficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch , Scikit-learn)
  • Familiarity with designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value
  • Familiarity with Generative AI models (e.g., GPT, DALLE, Stable Diffusion) and their applications across domains in forecasting
  • Understanding of the modern data stack: distributed computing tools (Spark, Hive, etc.), cloud computing environments, and source code control technologies ( e.g. Git)
  • Famili ar with state-of-the-art machine learning tools, such as deep learning frameworks, transformer models, NLP models , and time series models, with demonstrated and interpretable insight and impact
  • Strong communication skills capable of presenting complicated and nuanced work in a clear, concise, and understandable manner to a diverse audience

Nice-to-Have Skills:

  • E xperience in Biotechnology or pharma industry is a big plus
  • Foundation in machine learning algorithms and techniques

Education and Professional Certifications

  • Masters degree or Bachelors degree in Computer Science, Business, Engineering, IT or related field
  • 2+ Years of relevant work experience
  • Certifications on GenAI /ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus

Soft Skills:

  • Initiative to explore alternate technology and approaches to solving problems
  • Skilled in breaking down problems, documenting problem statements, and estimating efforts
  • Excellent analytical and troubleshooting skills
  • Strong verbal and written communication skills
  • Ability to work effectively with global, virtual teams
  • High degree of initiative and self-motivation
  • Ability to manage multiple priorities successfully
  • Team-oriented, with a focus on achieving team goals
  • Ability to learn quickly, be organized and detail oriented
  • Strong presentation and public speaking skills

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Amgen Inc

Biotechnology

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