Data Scientist II
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Description
Location:
Chennai TNAbout the Company: Condé Nast is a premier media company renowned for producing the highest quality content for the worlds most influential audiences attracting over 100 million consumers across its industry-leading print digital and video brands.
Condé Nast is home to many of the worlds most celebrated magazine and website brands. The companys reputation for excellence is the result of our commitment to publishing the best consumer trade and lifestyle content. Our brands include Vogue Epicurious Vanity Fair The New Yorker Wired and many more. Passion is the core of our philosophy at Condé Nast. Our mission is not only to inform readers but to ignite and nourish their passions
About the Role: As a member of the Data Science and Machine Learning Engineering (DS/MLE) team you will be the technical expert for a team that builds models for initiatives such as image recognition recommender systems NLP segmentation and user behaviours.
Responsibilities: Responsibilities include but are not limited to:
- Participate in model design testing and execution
- Work closely with data engineers and machine learning engineers to deliver products and analyses
- Develop advanced machine learning algorithms and proof of concepts
- Experiment and Innovate in applications of machine learning to Conde Nasts Business problems
- Provide technical expertise to junior team members
Minimum Qualifications:
- Applicants should have a degree (B.S. or higher) in technical discipline or relevant professional experience
- 4-7 years of machine learning experience in industry or academia
- Experience in one or more areas of advanced data science (NLP Deep Learning Computer Vision etc.) Computer Vision strongly preferred
- Experience in statistical analysis and experiment design
- Software development skills with proficiency in Python
- Experience with machine learning frameworks such as TensorFlow JAX PyTorch Spark MLlib Keras or scikit-learn
- Strong communication skills including to non-technical audiences
- Proven attention to detail critical thinking and the ability to work both independently and collaboratively within a cross-functional team
What happens next
If you are interested in this opportunity please apply below and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex sexual orientation gender identity national origin disability veteran status age familial status and other legally protected characteristics.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Als exklusivstes Medienunternehmen der Welt zählt Condé Nast weltweit bekannte Marken wie VOGUE, GLAMOUR, GQ und AD Architectural Digest zum Portfolio.
