IBM, Morgan Stanley, Amazon, Walmart, TCS and other companies looking for Data Scientists in India

Location: Bengaluru

Qualification:

• MS in Computer Science, strong knowledge of machine learning, and 5+ years of relevant experience in the industry and/or academia OR PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related quantitative field and strong knowledge of machine learning.
• 2 +/- years of experience using a mainstream programming language (C++, Java, Python, or similar).
• 2 +/- years of experience using object-oriented programming, data structures and algorithms, and software system design.
• 2 +/- years of experience using a broad set of supervised and unsupervised ML approaches and techniques ranging from Regression to Deep Neural Networks.
• Proven track record of successfully applying ML-based solutions to complex problems in business, science, or engineering.

Interested candidates can check detailed requirements here.

Location: Bengaluru, Karnataka

Qualification

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
• Experience executing, analyzing, and optimizing neural networks in TensorFlow, Caffe2, PyTorch, or similar frameworks.
• Background and understanding of neural network operators and mathematical operations: linear algebra, math libraries, desirable.
• Experience with industry-standard and emerging ML benchmark suites such as MLPerf is desirable.
• Experience/understanding of machine learning execution engines such as Glow, ONNX Runtime, or similar a plus.
• Experience with machine learning accelerators and related software a plus.

Location: Bengaluru, Karnataka

Qualification:

• Bachelor's degree in computer science, computer engineering or related technical discipline
• Overall, 10 to 15 years of programming experience with at least one modern language such as Scala, Java, Python, Go, C++, or C#, including object-oriented design
• System Design and Architecture: 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, etc.

Interested candidates can check detailed requirements here.

Location: Mumbai

Qualification:

• Bachelor’s Degree from an accredited higher learning institution required or equivalent combination of experience and education
• 2-5 years experience as a data analyst, data engineer, data scientist, business analysis or related quantitative analyst
• 2+ years of experience in the financial services industry
• Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions
• Comfortable working in a large organization and interfacing with a broad set of stakeholders across various functions (i.e., Business, IT, Operations)
• Excellent verbal and written communication skills presenting complex analytical results to both technical and non-technical audiences

Location: Pune

Qualification:

• BS degree in Computer Science or other engineering discipline.
• 5+ years of experience working as a Data Engineer or a similar role.
• 2+ years of experience working with marketing data analytics or sourcing data from marketing systems
• Very strong experience in SQL and dimensional modeling
• Hands-on experience working with data warehouse technologies (Snowflake, Redshift) and Big Data technologies (e.g Hadoop, Hive, Spark)
• Hands-on experience building data pipelines using ETL tools (e.g. Informatica, Matillion, Snaplogic) sourcing data from SaaS applications
• Proficiency with Python

Location: Pune

Qualification:

• Minimum 6+ years of experience in Big Data technologies
• Minimum 4+ years of experience in Python and Scala programming
• Experience in developing applications on Big Data and Cognitive technologies, including API development
• Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries
• Expertise in Spark, Scala, and Kafka technologies

Location: Bengaluru

Qualification:

• Overall, 8-14 years of working experience with preferably five years in a single domain at senior levels.
• Domain Expertise: The candidate should have a good hold on one or more domains as listed: Communication & Media, Retail, CPG, BFSI, Utilities, Automobiles.
• Ability to perform statistical modelling (predictive, regression, hypotheses testing, multivariate analysis, Time Series, Cluster, forecasting, ARIMA) using R/ Python.

Interested candidates can check detailed requirements here.

Location: Remote

Qualification:

• Minimum 3 years of prior experience in data science, and designing for data models
• Sound knowledge of statistics and data modelling. Exposure to varied modelling experience is a plus
• Experience with analytical tools (R/Python/SQL).