ADIDAS is hiring freshers for Data Scientist role, Salary 7-8LPA, Apply Now
ADIDAS is hiring for the post of Data Scientist and then the salary for the post to be expected is 7-8LPA For applying process, interested candidates are requested to go by through the link mentioned below this article. Please scroll down the Virtual job Seekers page for ADIDAS recruitment 2023 apply online and also for more inquiries and details regarding job role and responsibility, eligibility criteria and salary, etc
Recruitment Details:
- Company – Adidas
- Role –Junior Data Scientist
- Passed out year – 2022 and before
- Location – Gurgaon
- Experience – Freshers
- Qualification –
- You hold a Master’s degree in Computer Science/Statistics/Econometrics, or related field with a strong quantitative focus (Mathematics/Physics)
- Type – Full time
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About ADIDAS:
At adidas, we are rebellious optimists driven by action, with a desire to shape a better future together. We see the world of sport and culture with possibility where others only see the impossible. ‘Impossible is Nothing’ is not a tagline for us. By being optimistic and knowing the power of sport, we see endless possibilities to apply this power and push all people forward with action
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Job Description:
- Be part of a team of highly skilled Data Scientists from diverse backgrounds like statistics, mathematics, economics and computer science that develops and factorizes complex data science solutions.
- Apply a range of mathematical, statistical, predictive modelling or machine-learning techniques in consultation with experts, and with sensitivity to the limitations of the techniques.
- Design, code, verify, test, document, amend and refactor programs/scripts.
- Support the investigation of operational needs and problems, and opportunities, contribute to the recommendation of improvements in automated and non-automated components of new or changed processes and organization.
- Undertake analytical activities and deliver analysis outputs, in accordance with client needs and conforming to agreed standards.
- Support the selection, acquisition and integration of data for analysis.
- Applies agreed standards and tools, to achieve a well-engineered result. Engage in code reviews.
- Inspire us with the latest knowledge from research and academia.
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Requirements:
- In your studies, you’ve have acquired theoretical knowledge of Machine Learning (e.g., tree-based models, NLP, image processing) – now you are eager to put things into practice. Hands-on experience with exploratory data analysis and feature engineering (e.g., in the context of hackathons) would be a strong plus.
- You should have at least basic understanding of statistics/ statistical inference. Knowledge of linear algebra, optimization and time-series modeling would be a plus.
- In your studies/ during internships, you have already worked with Python and its state-of-the-art analytical libraries (e.g., pandas, scikit-learn, PySpark, plotly) – now you are ready to push your programming skills to the next level. You know the basics of Deep Learning architectures (e.g., CNNs or RNNs) and you are happy to experiment with tools like TensorFlow or PyTorch. Basic knowledge of R (including tidyverse) is an advantage.
- Ideally, you’ve already worked in a Jupyterlab/ Notebook environment or with IDEs like PyCharm or Visual Studio Code. Great, if you know how to use Bitbucket/ GIT for version control and collaborative coding.
- You have a basic understanding of relational databases and ideally know how to query large databases (e.g., via Spark, SQL, Hue).
- You are familiar with basic software engineering principles (e.g., integration/ unit testing) and the concept of continuous integration. Experience in the use of Jenkins would be a plus
- You have a basic understanding of agile development – now you are ready to become a member of an agile team.
- You hold a Master’s degree in Computer Science/Statistics/Econometrics, or related field with a strong quantitative focus (Mathematics/Physics)
- Ideally, you’ve already had first professional experiences (academia/ internships) preferably with a focus on online retailing or sporting goods.
- You have strong professional communication skills (English, written and oral).
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