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4 Days ago

Senior Data Scientist I

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Thiruvananthapuram, Kerala, India
Information Technology
Full-Time
Dotdash Meredith

Overview

Job Title

Senior Data Scientist I

Job Description

About Dotdash Meredith: Dotdash Meredith is the largest digital and print publisher in America. From mobile to magazines, nearly 200 million people trust us to help them make decisions, take action, and find inspiration. Dotdash Meredith's over 40 iconic brands include PEOPLE, Better Homes & Gardens, Verywell, FOOD & WINE, The Spruce, Allrecipes, Byrdie, REAL SIMPLE, Investopedia, and Southern Living. Dotdash Meredith is based in New York City and is an operating business of IAC (NASDAQ: IAC) (www.dotdashmeredith.com).

Meredith India Services Pvt. Ltd. (a Dotdash Meredith Company)

Meredith India Services Pvt. Ltd. is a subsidiary of Dotdash Meredith (USA), the parent company of over 40 iconic brands like PEOPLE, Better Homes & Gardens, Verywell, FOOD & WINE, The Spruce, Allrecipes, Byrdie, REAL SIMPLE, Investopedia, Southern Living and many more. We provide offshore support to Dotdash Meredith within Research & Analytics, Technology, Finance, Operations, Consumer Marketing & Revenue, and Shared Services domains. Operating out of Bengaluru, Dotdash Meredith India employs a diverse and vibrant workforce with an engaging workspace. We are energetic, strong & dynamic and form a solid foundation that celebrates our work culture. We’re looking for bright, engaged, creative and fun people to join our inspiring team.

Our Core Values

Champion Accountability

Respect

Expect Integrity

Act Now, Not Later

Make it Matter

Job Summary: Collaborate with the business team to understand problems, objectives, and desired outcomes. Build ML/Statistical solutions to achieve the outcomes. Work closely with various teams in Bangalore and the US.

Primary Responsibilities

  • Work with cross-functional teams to assess data science use cases & solutions
  • Lead and execute end-to-end data science projects
  • Collaborate with stakeholders to ensure alignment of data solutions with business goals
  • Build custom data models with an initial focus on content classification
  • Utilize advanced machine learning techniques to improve model accuracy and performance.
  • Build necessary visualizations to interpret data models by business teams
  • Work closely with the engineering team to integrate models into production systems.
  • Monitor model performance in production and make improvements as necessary.
  • Stay up-to-date with the latest developments in machine learning and AI. Review relevant research literature and apply applicable methodologies or insights to address the problem effectively.
  • Mentor junior data scientists

Mandatory Skills

  • Master’s degree (or equivalent experience) in Data Science, Mathematics, Statistics, or related field with 3+ years of experience in ML/Data Science/Predictive-Analytics
  • Strong programming skills in Python and experience with standard data science tools and libraries (Pandas, NumPy, Scipy, NLTK, Spark, Docker, TensorFlow, PyTorch, sci-kit-learn, etc.).
  • Experience or understanding of deploying machine learning models in production on at least one cloud platform (GCP, AWS, etc.).
  • Hands-on experience with LLMs API (OpenAI, Hugging Face) and ability to craft effective prompts to guide LLMs towards desired outputs.
  • A creative knack for solving hard problems in statistics, machine learning, and optimization.
  • Strong interpersonal and communication skills and adept at working with multiple stakeholders
  • Writing clear and concise technical reports

Good To Have

  • Experience in the Media domain
  • Familiarity with vector databases like Milvus
  • E-commerce or taxonomy classification experience

What Will You Learn In This Job

  • Building ML models using industry-standard frameworks
  • Solving Data Science problems for the media industry
  • Use of Gen AI in Media

Shift Timings: 1 p.m. to 10 p.m. IST

Work Location: Eco World, Bengaluru

It is the policy of Dotdash Meredith to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities.

#INDIA#
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