Top 10 Data Science Jobs in MNCs to Apply for in Feb 2022

Want to build a career in data science? Here are the top 10 data science jobs in MNCs to apply in Feb 2022

Data science is one of the top emerging technologies in the world. Data scientists understand the challenges of business and offer the best solutions using data analysis and data processing. Today, recruiters are looking to hire individuals with data science skills and knowledge. Entering data science can prove to be highly rewarding and will help you build a career. Demand for data-related professionals like data scientists and analysts has currently outweighed the supply, meaning that companies are willing to pay a premium to fill their open job positions. They can also do this by identifying trends and patterns that can help the companies in making better decisions. Analytics Insight has listed the top 10 data science jobs in MNCs you can apply to right now.

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Data Scientist, Buyer Abuse Data Science – Amazon

Location – Hyderabad

Responsibility

• Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions.
• Employ the appropriate algorithms to discover patterns of risks, abuse and help reduce bad debt
• Design experiments, test hypotheses and build actionable models to optimize BRP operations
• Solve analytical problems, and effectively communicate methodologies and results
• Build predict models to forecast risks for product launches and operations and help predict workflow and capacity requirements for BRP operations
• Draw inferences and conclusions, create dashboards and visualizations of processed data, identify trends, anomalies
• Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area

Apply Here

Data Scientist: Advanced Analytics – IBM

Location – New Delhi

• Work with IBM Q Start team on active exploratory research engagements to prepare for future use case commercialization within a specific industry
• Engage and educate client data science teams to define promising areas for quantum exploration
• Implement quantum approaches, which includes data pre-/post-processing, running numerics, and visualizing data
• Collaborate with industry and solutioning experts to design and shape experiments to demonstrate the quantum-enabled advantage
• Define best practices related to information architecture, including collection, integration, organization, analysis, and visualization of data for quantum-enabled impact
• Engage in practice development initiatives focused on building employee knowledge and skills in specific areas of expertise through coaching and development of training course material

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Data Scientist – Tata Consultancy Services

Location – Remote

• Programming experience in Python/R & SQL preferably. Exposure to Time Series Forecasting is desirable, but not essential.
• Working knowledge of the following libraries: numpy, scipy, pandas, scikit learn, matplotlib, seaborn
• Knowledge of Data Science techniques with evidence of using them on data across supervised & unsupervised learning business problems.
• Technical understanding of most commonly used algorithms Linear regression, Random Forests, SVMs, KNN, K-means, etc.
• Working Experience with ARIMA/Prophet is beneficial.
• Focus on Unsupervised Clustering for KNN/K-means, with a wider requirement for Financial Modelling.
• Past Experience in Finance or Cash Management ideal but not mandatory.

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Data Scientist III, Gift Cards – Amazon

Location – Karnataka

• You should be detail-oriented and must have an aptitude for solving unstructured and ambiguous problems. You should work in a self-directed environment, own tasks, and drive them to completion
• You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets
• You should demonstrate thorough technical expertise on feature engineering of massive datasets, exploratory data analysis, and model building using supervised and unsupervised learning algorithms – Random Forest, Gradient Boosting, SVM, Neural Nets, etc. You should be aware of automated feedback loops for algorithms in the production
• Work closely with internal stakeholders like the business teams, engineering teams, and partner teams and align them with respect to your focus area

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Data & Applied Scientist 2 – Microsoft

Location – Noida

•  We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, auction theory, among others.
•  Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multi-objective optimization, and a number of other ML-driven business problems.
•  You will design, implement, analyze, tune complex algorithms utilizing signals from ML systems to meet advertiser objectives in a dynamic marketplace.
•  You will collaborate with top machine learning scientists and engineers in delivering direct business impact.

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Senior Data & Applied Scientist – Microsoft

• Develop novel algorithms in the space of sponsored search to constantly improve the operational efficacy and monetization impact on stakeholders
• Analyze Giga/Terabytes of logs and create observation/opportunities and avenues of improvements in the system
• Identify and apply machine learning solutions at various aspects of the system stack
• Monitor for alerts and root cause the live/off-line aspects for any abnormalities in the system
• Ideate on newer aspects of advertising avenues and augment the platform with richer products for the stakeholders

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Senior Lead Data Analyst – Wipro

• Significant leadership experience, with an ability to be technical and commercial based on the audience.
• Should be able to handle multiple pods independently and proactively lead problem-solving with stakeholders.
• Ability to take 100% ownership of analytical tasks pertaining to stakeholders.
• Should be able to present data & insights to product, business, and senior management in a palatable way.
• Should be deeply involved with the stakeholders in their BAU work and help them make data-driven decisions.
• Demonstrated excellence in engagement delivery, insightful thought-leadership, strategic problem solving, high-impact team management, and strong customer relations at senior executive levels.

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Data Scientist II, Product Analytics – Expedia Group

Location – Gurugram

• You will apply your expertise in quantitative analysis, predictive modeling, and data visualization to provide the best product experiences for our travelers
• You will serve as a trusted partner, working collaboratively with various teams to perform analysis and provide insights, and maintain regular communication to update partners on progress made on projects
• You will present customer behavior insights, identify customer issues and business opportunities to the Product, Engineering, and UX teams to build an outstanding site and app for customers around the globe going on a trip
• Work directly with business owners and technical specialists to create, plan, and analyze product experimentation
• Responsible for developing and presenting business requirements to the data management team in order to operationalize reporting and automate recurring analyses

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Data Scientist – Lenskart

• Analyze the customer base and build a strong customer segmentation framework to look at our customer base in a strategic manner
• Leverage customer data to build churn models, propensity models, etc. to increase the efficiency of our marketing spend working closely with the channel teams on campaign optimization
• Leverage customer chat data for applications in text analytics such as sentiment analysis, NPS prediction, topic modelling etc.
• Ability to translate advanced analytics problems into an ML model (deep learning, decision trees, random forest, GBM, Bayesian models, etc.)
• Experience using machine learning libraries or platforms such as Tensorflow, Scikit-Learn, Spark ML, Python, SQL, Redshift, Knowledge of AWS environment.
• Knowledge of MMM Modelling and MTA Modelling is good to have.

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Data Scientist – HCL

Location – Greater Noida

Skills

• Candidates must have experience in Machine learning, Deep Learning, NLP, Python Coding.
• Candidates must have experience in developing Machine learning, Text extraction, Image processing.
• In-depth knowledge of machine learning, text extraction, and image processing techniques.
• Experience in developing machine learning, text extraction, and image processing algorithms, and optimizing the existing algorithms.
• Coding experience in C/C++, Python, Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV, or similar tools.
• Takes ownership of self-professional development

Apply Here