5 New job openings for Data Scientists in India

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5 New job openings for Data Scientists in India

5 New job openings for Data Scientists in India

Data Science and Analytics are the biggest job creators amid the Covid-19 pandemic. Global tech firms continue to hire skilled techies for Data Science related job roles. Here are the 5 latest job openings with top companies that are hiring data scientists.

1. Data Scientist at Yoodle | Bengaluru

Responsibilities:

  • Work independently or in team to solve complex problems and create scalable models/algorithms that will be integrated into Yoodle’s tools and products.
  • Come up with actionable ideas to solve problems faced by product managers senior leadership then implement those ideas .
  • Communicate context, data, solution and implications to the team, senior leaders and stakeholders.
  • Lead and guide junior data scientists to deliver results (if applicable)
  • Collaborate with other teams like quality assurance team and engineer team (if applicable)

Required skills:

  • Candidates should have demonstrated the use of Data Science to solve real world problems with large data sets.
  • Hands on experience in one of the relevant field viz. Data Science, Machine Learning, Deep Learning.
  • Ability to write code and perform following tasks using at least one of Python (preferred), R, Matlab.
  • Data processing / analysis / manipulation
  • Predictive modeling
  • Data processing / analysis / manipulation
  • Conceptual understanding of some statistical modelling/machine learning algorithms.
  • Able to handle large datasets

2. Machine Learning Engineer at Byju’s | Bengaluru

Responsibilities:

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Managing available resources such as hardware, data, and personnel so that deadlines are met
  • Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available data sets online that could be used for training
  • Defining validation strategies Defining the pre-processing or feature engineering to be done on a given data set
  • Defining data augmentation pipelines
  • Training models and tuning their hyper parameters
  • Analysing the errors of the model and designing strategies to overcome them – Deploying models to production


Required skills:

  • Proficiency with a deep learning framework such as Tensor Flow or Keras
  • Proficiency with Python and basic libraries for machine learning such as sci kit-learn and pandas
  • Expertise in visualizing and manipulating big data sets
  • Proficiency with Open CV
  • Familiarity with Linux
  • Ability to select hardware to run an ML model with the required latency

3. Machine Learning Engineer at Hitachi Vantara | Bengaluru

Responsibilities:

  • Perform machine learning, text analytics, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
  • Selecting features, building and optimizing classifiers using machine learning techniques.
  • Implement algorithms and software needed to perform analyses.
  • Communicate results and educate others through reports and presentations.

Required skills:

  • Expertise in Data Mining, Data wrangling, and data munging using one or more of the most commonly used data science tools: R, Python, SAS, SPSS, Weka • Experience in end-to-end data science and engineering activities.

4. Data Analyst at Shaadi.com | Mumbai

Requirements:

  • Expertise in deriving insights from large amounts of data is mandatory
  • Expertise in customer segmentation, user profiling, churn analysis is required
  • Ability to work with large data sets and to interpret them statistically is expected
  • Strong problem solving skills is required
  • Ability to work with data warehousing solutions to meet large datasets and analysis requirements is expected
  • Experience in working with visualization platforms such as Tableau, Looker, Qlik etc will be useful
  • Experience using machine learning algorithms, data analytics strong algorithmic thinking and good programming skills will be useful
  • Expertise with SQL and MS Excel is mandatory
  • Detailed understanding of statistical techniques is expected
  • Proficiency in R or Python will be useful.
  • Ability to understand and explain issues from both a technical and a business point of view is useful
  • Knowledge of various analytics techniques will be expected
  • Experience working on analytics and tracking tools such as Google Analytics will be preferred

5. Applied AI & Machine Learning – Analyst at JPMorgan & Chase | Hyderabad

Responsibilities:

  • Collaborate with Research teams to formulate relevant financial and business questions that can be answered by data analysis.
  • Leverage your strong analytical background in order to collaborate with various business partners to:
  • Work in a team responsible for generating information extraction and interpretation utilities and related workflows, strategy and automation initiatives (for instance writing scripts, web scraping, calling APIs, write SQL queries, python scripting etc.).
  • Develop business and technical requirement documents; design and develop automated workflows; deploy workflows for automation, as well as use Third Party Data in workflows.
  • Accountable for understanding business stakeholder’s data requirements; data interfaces and data mappings; analyze and interpret data.
  • Design and implement automation policies to help our customers be more productive.
  • Communicate final results and give context and document approach and techniques used.
  • Collaborate with JP Morgan machine learning teams.

Required skills:

  • Bachelor’s Degree in engineering, preferably in computer science or information technology.
  • 1-3 years of experience across Data Analysis, Data Engineering, Automation, and Webscraping.
  • Experience in integrating vendor products to a local ecosystem, and relevant infrastructure know how (taking a vendor product from POC to deployment in multiple environments).
  • Expertise in sourcing, manipulating large and complex datasets, and Python scraping frameworks.
  • Expertise in developing and debugging in Python or similar professional programming language.
  • Strong collaboration, and communication skills.
  • Results driven individual with high-level of curiosity and ability to dive into details without losing sight of the big picture.
  • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis.

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