The Job logo

What

Where

Data Scientist AppleCare Digital

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
We are looking for experienced data scientists to join our AppleCare Digital team in Bangalore. Engage with others to find opportunities, build analysis pipelines, and develop reusable ML models. Must have a strong background in machine learning, deep learning, NLP, computer vision, and recommendation systems.

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The people here at Apple don’t just craft products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it! We are looking for experienced data scientists with a passion for using machine learning/ deep learning in areas like NLP, computer vision and recommendation systems to transform user experiences and business processes in AppleCare Digital team located in Bangalore, India.

Key Qualifications

  • Proficiency in building large scale personalisation & recommendation algorithms and knowledge of information retrieval & ranking algorithms
  • Experience in Deep Learning and classical Machine Learning, including but not limited to CNN/RNN architectures, Reinforcement learning, Graph Neural networks.
  • Experience with one or more Deep Learning packages including but not limited to TensorFlow and PyTorch
  • Research experience on large language model fine-tuning and usage.
  • Proficiency in Python programming
  • Working knowledge of relational databases, SQL, and No-SQL databases.
  • Experience with unstructured data like images & text is a plus
  • Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners

Description

- Engage with others to find opportunities, understand requirements, and translate those requirements into technical solutions. - Build and prototype analysis pipelines in partnership with other data scientists and data engineers iteratively to provide insights at scale. - Develop reusable ML models and assets working closely with engineering team to ensure scalability and industrialisation as models move into production.

Education & Experience

Ph.D. in Data Science, Machine Learning, Statistics, Operations Research or related field or B.Tech/M.Tech/M.S. in related field with 5+ years experience applying machine learning techniques to real business problems

Set alert for similar jobsData Scientist AppleCare Digital role in Bengaluru, India
Apple Logo

Company

Apple

Job Posted

10 months ago

Job Type

Full-time

WorkMode

On-site

Experience Level

3-7 years

Category

Data Science

Locations

Bengaluru, Karnataka, India

Qualification

Bachelor, Master, or Doctoral

Applicants

Be an early applicant

Related Jobs

Tata Consultancy Services Logo

Data Scientist

Tata Consultancy Services

Bengaluru, Karnataka, India

Posted: 8 months ago

We are looking for a candidate with hands-on experience in machine learning models like logistic regression, survival analysis model, gradient boost, collaborative filtering, Bayesian, SVM, and random forest. The candidate should have prior experience in predictive model building using Python. Excellent knowledge of Python and other statistical tools like Pyspark/Scala is a must. The candidate should have the ability to translate business problems into statistical problems and provide viable business solutions. Strong skills in statistical modeling, including predictive modeling, regression, hypothesis testing, multivariate analysis, time series analysis, clustering, forecasting, and ARIMA using Python and Pyspark, are required.

Zebra Technologies Logo

Data Scientist, II

Zebra Technologies

Bengaluru, Karnataka, India

Posted: 4 months ago

Job Description Remote Work: Hybrid   Overview: At Zebra, we extend the edge of possibility by shaping the future of work on the front line—reinventing how businesses run and moving society forward. We are a community of changemakers, innovators and doers who come together to deliver a performance edge to the front line of business. We develop new technologies and create new solutions with partners to help organizations act with greater visibility, connectivity, and intelligence—delivering better experiences for workers and those they serve. Being a part of Zebra means being seen, heard, valued, and respected as you define your path to a fulfilling career. Here, you'll have opportunities to learn and lead at a leading company, and you can channel your skills towards causes that you and the Zebra community care about, locally, and globally. Together, we've only begun to define the edge of what's possible—for our people, our customers, and the world. Works with Professional Services/Customer Success Analytics team on delivering actionable insights to optimize performance of Zebra devices. Incumbent is expected to work on sensor data; perform exploratory analysis to identify performance improvement opportunities, build predictive/reliability model for device/component failure.    Responsibilities:   Essential Duties and Responsibilities: Coordinate effectively with cross-functional team of Business Intelligence Analysts, Data Scientists and Business Stakeholders. Work with untidy IoT data; clean/prepare data for downstream modelling. Understand business objectives, analyze data, and identify opportunities to improve device performance and availability. Build predictive/reliability models for device/component failure and root cause diagnostics. Communicate/present findings to stakeholders and take sign-off. Job Requirements: Preferred Education: bachelor’s or master’s degree in Statistics/technology/engineering, business, or technical field. Preferred Work Experience (years): 5 – 8 years of experience in Data Science/Predictive Modelling. Strong understanding of Python (Pandas/NumPy/Scikit-learn) and SQL. Good understanding of cloud platform – preferably GCP and Big Query. Good understanding of predictive and reliability modelling. Background in IoT will be preferred. Ability to convey consistent story using data visualization, and ability to present data science/predictive modelling concepts to business stakeholders. Solid written and oral communication skills/good presentations skill. Qualifications:   Bachelor’s degree. Advanced degree–masters or PhD-strongly preferred in Statistics, Mathematics, Data / Computer Science or related discipline 2-5 years experience Statistics modeling and algorithms Machine Learning Experience–including deep learning and neural networks, genetics algorithm etc. Working knowledge Big Data–Hadoop, Cassandra,Spark R. Hands-on experience preferred Data Mining Data Visualization and visualization and analysis tools including R Work/Project experience in sensors, IoT, mobile industry highly preferred Excellent verbal and written communication Comfortable with presenting to senior management and CxO level executives Self motivated and self starter with high degree of work ethic

Google Logo

Data Scientist, Local Growth

Google

Bengaluru, Karnataka, India

Posted: 9 months ago

Minimum qualifications: Master's degree in Statistics or Economics, or a quantitative discipline, or equivalent practical experience. 3 years of experience in statistical data analysis. Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages Preferred qualifications: Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience 5 years of experience in a data analysis field Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g. SQL) About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. As a Data Scientist, you will evaluate and improve Google's products. You'll collaborate with a multi-disciplinary team of Engineers and Analysts on a wide range of problems, using statistical methods for the challenges of measuring quality, improving consumer products, and understanding the behavior of end-users, advertisers, and publishers. Responsibilities Work cross-functionally with multiple teams (e.g., UX, Software Engineering, Product Management, Analysis, etc.) across Local and Search to advance our metric capabilities. Use advanced modeling (e.g., MUM or ranking based models) for Machine Learning (ML) based metrics, logs-data for metric tuning, human rater based data, and user-survey data. Develop metric, product performance investigation, experiment design, and growth analysis. Partner with the Local Search team to focus on user-facing experiences across multiple products.  Work cross-functionally to identify metric improvements.