Syntasa Hiring Drive 2024 For Data Scientist | Work From Home

Join Our Official Data Science, Data Analyst, Data Engineering Jobs Telegram Channel

Syntasa Hiring Drive 2024: Syntasa Hiring Drive 2024 for its Data Scientist Syntasa Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: Syntasa

Role: Data Scientist

Location: Remote

Experience: 2 years

Qualification: Bachelor’s degree 

Batch: Any

Job Type: Full Time

Salary: 13 LPA (Expected)

Syntasa Hiring Drive 2024

Job Description:

  • As a data scientist within our delivery team, you will be leveraging a multitude of big data, ML and statistical methods to help our customers realize the potential of modern data science and data-driven approaches.
  • You will be working from an end-to-end basis by building the data pipelines needed for your models, building/optimizing the models and enabling your data driven outputs to be leveraged by both stakeholders and downstream applications.
  • We work across several public sector and commercial clients, thus allowing your data expertise to help facilitate positive outcomes across a broad range of sectors.
  • Join our team of leading data engineers, machine learning researchers, and data scientists who are building the next generation of AI Customer Assisted Analytics technology.
  • Syntasa leverages proven streaming, machine learning, visualization, and big data technologies to process billions of records in real-time, resulting in actionable intelligence that improves acquisition, conversion, and retention.
  • This provides a unique opportunity to be a part of a growing team in a fast-paced and evolving environment that delivers business impacts from data-driven recommendations.

Sugar Cosmetics Hiring Drive 2024 For Data Analyst | Location Mumbai


  • At least 2 years experience in an analytical role as a data scientist, analyst or machine learning engineer
  • An ability to work with data using SQL and tools for statistical analysis (eg. Python, R)
  • Solid knowledge of statistics and probability, with demonstrated experience applying these techniques to commercial use cases such as ML models and A/B tests
  • Demonstrated experience of developing, deploying and maintaining ML models and data pipelines within a commercial setting.
  • Demonstrated experience of translating business and/or project requirements into insights, models and data products that generated tangible business value.
  • An ability to work effectively in a team setting and familiarity with commercial collaboration tools such as JIRA, Confluence,
  • A strong communicator able to present data driven insights to non-technical stakeholders while also having fruitful conversations with engineering teams
  • Curiosity and attention to detail with regards to data quality, distributions, biases and governance.
  • An ability to work effectively within a fast paced and dynamic environment.
  • An awareness and keen interest in the latest trends / techniques within data, machine learning and AI.
  • demonstrable experience implementing models (both pre-built and custom) for NLP, imagery analaysis, topic modelling etc..
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc..
  •  Experience with cloud solution providers such as GCP, AWS and Azure
  • Prior experience building robust and reusable code
  • Prior experience using notebooking technologies such as Jupyter/Colab notebooks.
  • Knowledge of NLP and Image processing algorithms.
  • Prior experience with REST APIs
  • An understanding of version control, modularity and maintaining code within a production setting.
  • An understanding of the web analytics and digital marketing ecosystem (eg. Adobe, Salesforce, Google)
  • Prior experience working with DMPs and CDPs
  • Prior consulting experience


  • Fluent in Python/Scala/R as well as SQL/NOSQL with demonstrable experience.
  • Experience with Apache Spark
  • or other Big Data tools like Apache Flink/MapReduce
  • Familiar with Big Data tools such as EMR/ Dataproc /Cloudera/Hortonworks
  • Familiar with orchestration tools such as Airflow/DBT/NiFi
  • Experience with LLM’s and GPT models a plus.

How To Apply For Syntasa Hiring Drive 2024?

First, read through all of the job details on this page.
Scroll down and press the Click Here button.
To be redirected to the official website, click on the apply link.
Fill the details with the information provided.
Before submitting the application, cross-check the information you’ve provided.

To Apply: Click Here

Equifax Hiring Drive 2024 For Data Scientist | Location Bangalore

SatSure Analytics Hiring Drive 2024 For Data Scientist | Location Bangalore

Jobs By LocationJobs By RoleOther Data Jobs
WFH/RemoteData AnalystB.E/B.Tech
PuneData EngineeringM.E/M.Tech
BangaloreData ScientistBCA/MCA
MumbaiMachine LearningBSc/MSc
ChennaiBusiness AnalystAny Graduate