Time since we first saw it
Day 156
Up longer than most. Similar jobs usually come down between day 7 and day 56.
From 10,194 similar postings that came down. Coming down is not always a hire.
Fresher - Data Science Engineer
- Pay
- Pay not listed
- Work setting
Remote — work setting source
This is a remote position. Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.
Team: Sciences Location: Remote Relevant Exp: 0-2 Years
Read the full posting- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent
From the employer’s posting
Before you apply
- New graduates
- Open to new graduates
Fresher - Data Science Engineer
What you’ll work on
Full postingBuild applications for data preparation, including cleaning and anomaly detection
Build applications for data exploration, including imputation and outlier analysis
Build applications for feature engineering and selection
Build machine learning modeling applications, including tuning, training and validation
Automate individual components and the integrated data science pipeline
From the employer’s posting
Building applications for data preparation that includes impurities removal, anomaly detection, identifying inconsistencies and tranformations
Building applications for data exploration that includes missing value imputation, outlier analysis, class imbalance, correlation, and visualization
Building applications for feature engineering that includes feature generation, feature transformation, feature selection
Building applications for machine learning modeling that includes models development, hyperparameter optimization, model selection, training, validation and prediction
Building applications for machine learning automation that includes automating components included in each of the applications and automating integrated data science pipeline
What you’ll bring
All qualificationsCore experience
- 0-2 years of data science experience, including courses, competitions, internships or jobs
- Coding in Python3 with NumPy, Pandas and Scikit-learn
- Has implemented a full-cycle data science project on a real-world problem
- Has implemented SQL queries
- Has developed algorithms in Python3
Qualification wording
Data Science Experienced - course/competitions//internships/job (<2 years)
Code in Python3 - Numpy?
Implemented full-cycle data science on real-world problem (not just academic or kaggle projects)?
Implemented SQL queries
Developed algorithms in Python3
Posting record
Report an errorOpen 5 monthsWe first saw this posting 156 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026156 days ago
- Recorded sightings
- 101
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Busigence is hiring
3 open jobs
- No new data jobs since June
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Keras
- NumPy
- PySpark
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
6.Developed algorithms in Python3 7.Confidence to learn PySpark3 within a month? https://spark.apache.org/docs/latest/api/python/getting_started/index.html (we shall guide but won't spoon-feed) ===========================================
Preferred 1. Functional programming in Python on vinaigrette map-reduce lambda paradigm 2. Complex mathematical logics through PySpark at scale on parallel/distributed clusters
4.Implemented full-cycle data science on real-world problem (not just academic or kaggle projects)? 5.Implemented SQL queries 6.Developed algorithms in Python3
3. Worked on development of data platform 4. Worked on TensorFlow, PyTorch, Keras Benefits
************ 1. Code in Python3 - Numpy? 2.Code in Python3 - Pandas?
1. Functional programming in Python on vinaigrette map-reduce lambda paradigm 2. Complex mathematical logics through PySpark at scale on parallel/distributed clusters 3. Worked on development of data platform
2.Code in Python3 - Pandas? 3.Code in Python3 - Scikit-learn? 4.Implemented full-cycle data science on real-world problem (not just academic or kaggle projects)?
Your next step
Complete your application on busigence.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
This is a remote position.
Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.
Fresher - Data Science Engineer
Team: Sciences
Location: Remote
Relevant Exp: 0-2 Years
Background: Been there-Done that
Compensation: Above industry standards
Requirements
This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsive
Remote position (work-from-anywhere)
Immediate joiners must apply
Data Science Experienced - course/competitions//internships/job (<2 years)
Competitive compensation
************
| MUST HAVE |
************
1. Code in Python3 - Numpy?
2.Code in Python3 - Pandas?
3.Code in Python3 - Scikit-learn?
4.Implemented full-cycle data science on real-world problem (not just academic or kaggle projects)?
5.Implemented SQL queries
6.Developed algorithms in Python3
7.Confidence to learn PySpark3 within a month? https://spark.apache.org/docs/latest/api/python/getting_started/index.html (we shall guide but won't spoon-feed)
===========================================
We are offering one of the most challenging & exciting work on Applied ML. You shall be working on sophisticated platforms, products and applications
===========================================
We are looking for developer with real passion for data science, machine learning and automation. This is a specialist and individual contributor role. Product development experience preferably at a startup or a lean team is desired
ROLE
Mandatory
1. Building applications for data preparation that includes impurities removal, anomaly detection, identifying inconsistencies and tranformations
2. Building applications for data exploration that includes missing value imputation, outlier analysis, class imbalance, correlation, and visualization
3. Building applications for feature engineering that includes feature generation, feature transformation, feature selection
4. Building applications for machine learning modeling that includes models development, hyperparameter optimization, model selection, training, validation and prediction
5. Building applications for machine learning automation that includes automating components included in each of the applications and automating integrated data science pipeline
6. Building sophisticated deterministic, stochastic and neural network models from scratch, in map reduce paradigm enabling distrubuted computing
Preferred
1. Functional programming in Python on vinaigrette map-reduce lambda paradigm
2. Complex mathematical logics through PySpark at scale on parallel/distributed clusters
3. Worked on development of data platform
4. Worked on TensorFlow, PyTorch, Keras
Benefits
How to Apply
You should apply online by clicking "Apply Now".
For more information, visit http://www.busigence.com
Products: http://busigence.com/offering
Careers: http://careers.busigence.com
Research: http://research.busigence.com
Scaling established startup innovating & disrupting various domains through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.
We are a deep rooted organization with success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing Enterprise AI products. More details at http://busigence.com/offering
We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.
We look for intent & talent, not skills
1. You must be [super sharp]
2. You must be [extremely energetic]
3. You must be [honourably honest]
In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
We offer you: [Greatest work of life]
You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening workplace
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
This is a remote position. Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.
More source context
Team: Sciences Location: Remote Relevant Exp: 0-2 Years
More relevant text appears in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.