Data Science Engineer

at TartanHQ Solutions Private Limited

Data Science Engineer

TartanHQ Solutions Private Limited

Company

Home

Data Science Engineer

at TartanHQ Solutions Private Limited

Posted by Kumar Vivek

2 - 4 yrs

₹9L - ₹15L / yr

Bengaluru (Bangalore)

Skills

Data Science

Machine Learning (ML)

Natural Language Processing (NLP)

Computer Vision

Python

Big Data

Amazon Web Services (AWS)

AWS Lambda

recommendation algorithm

Key deliverables for the Data Science Engineer would be to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What will you do?

You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
You will be constantly assessing and improving the model using techniques like Transfer learning
You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
Building predictive models and machine-learning algorithms to apply to data sets.
Coordinate with different functional teams to implement models and monitor outcomes.
Presenting information using data visualization techniques and proposing solutions and strategies to business challenges

We would love to hear from you if :

You have 2+ years of experience as a software engineer at a SaaS or technology company
Demonstrable hands-on programming experience with Python/R Data Science Stack
Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
Preferable Experience Experienced in web crawling and data scraping
Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
Experience with text mining, pattern matching and fuzzy matching

Why Tartan?

Brand new Macbook
Stock Options
Health Insurance
Unlimited Sick Leaves
Passion Fund (Invest in yourself or your passion project)
Wind Down

What will you do?

You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
You will be constantly assessing and improving the model using techniques like Transfer learning
You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
Building predictive models and machine-learning algorithms to apply to data sets.
Coordinate with different functional teams to implement models and monitor outcomes.
Presenting information using data visualization techniques and proposing solutions and strategies to business challenges

We would love to hear from you if :

You have 2+ years of experience as a software engineer at a SaaS or technology company
Demonstrable hands-on programming experience with Python/R Data Science Stack
Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
Preferable Experience Experienced in web crawling and data scraping
Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
Experience with text mining, pattern matching and fuzzy matching

Why Tartan?

Brand new Macbook
Stock Options
Health Insurance
Unlimited Sick Leaves
Passion Fund (Invest in yourself or your passion project)
Wind Down

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About TartanHQ Solutions Private Limited

Founded :

2021

Type :

Product

Size :

20-100

Stage :

Raised funding

About

Tartan is a payroll connectivity API company enabling consent-driven employment and income verification in real-time 🎯

If you have ever applied for a home loan, car loan, or credit card, during the process, you were asked to share proof of your income through payslips or IT return, or a bank statement to assess your income. You probably had to manually find the necessary documents and upload them to a platform, or send them via e-mail. In some cases, you might even have needed to submit a request to your HR department for help.

Tartan helps precisely here – by offering a digitally embedded income verification solution to securely transmit your income data including the payslips without a pause in your application process.

Our technology allows businesses to access payroll data directly from the payroll systems to streamline income and employment verification, improve underwriting models, and help employees and independent freelancers avail custom benefits through their employers.✨

You can read about us here - bit.ly/3wkvO5V

Why should you work with us?

We are growing exponentially [Going from an on-paper idea-to-revenues in less than 12 weeks] - have big plans for 2022 and are super excited to build a top-tier product in India, for the world
Crazy ambitious mission: Have a founder mindset and lots of room to experiment, integrate and expand further. Have a figure-it-out mentality.
Transparent, flexible benefits: We have a robust benefits framework; we evaluate candidates based on performance every six months and put our best foot forward on appraisals, with some flexibility between cash/crypto mutual fund/stock options. Read more. Read in detail on our flexible benefits in the next section.👇
So much transparency: We try hard to do it in the right way. We strongly believe that we can be much more open and move faster when we have nothing to hide.

Flexible Benefits

Salary 💸 We offer competitive salaries with performance-based bonuses and raises at will. We believe that a raise doesn’t need to be tied to an annual review.
Stock Options 📈 We believe that all employees deserve to own a part of Tartan. Everyone should be rewarded for a successful company outcome.
Health Insurance 💪 We believe you and your family deserve robust health coverage because we care about them too. A health policy of 5 lakhs is provided and other benefits to you and your family. ****
Brand new MacBook 💻 You get a MacBook you can use for working anywhere, irrespective of your role at Tartan.
Unlimited Sick Leaves ❤ Times are tough, and we are all in this together. Sick leaves are not meant just for yourself but also to take care of your loved ones when they need you the most.
Passion Fund 🏀 Invest in yourself or your passion project. Take a course, do gardening or start a newsletter. At Tartan, we want to invest in your professional growth and personal.
Wind Down 🎥 Whether it’s Netflix, Prime, Hotstar with the family, or cozying up with an audio-book, we provide a monthly stipend to spend on the streaming, entertainment, or news sources of your choice.

We are not rigid. If you are a hard worker and are willing to learn, we'd love to hear from you.

If there isn’t an open position for you, don’t worry!

You can e-mail us at talent@tartanhq.com and let us know how you can help grow and build Tartan in your way, and why you would be a great addition to our team.

Tartan is a payroll connectivity API company enabling consent-driven employment and income verification in real-time 🎯

You can read about us here - bit.ly/3wkvO5V

Why should you work with us?

We are growing exponentially [Going from an on-paper idea-to-revenues in less than 12 weeks] - have big plans for 2022 and are super excited to build a top-tier product in India, for the world
Crazy ambitious mission: Have a founder mindset and lots of room to experiment, integrate and expand further. Have a figure-it-out mentality.
Transparent, flexible benefits: We have a robust benefits framework; we evaluate candidates based on performance every six months and put our best foot forward on appraisals, with some flexibility between cash/crypto mutual fund/stock options. Read more. Read in detail on our flexible benefits in the next section.👇
So much transparency: We try hard to do it in the right way. We strongly believe that we can be much more open and move faster when we have nothing to hide.

Flexible Benefits

Salary 💸 We offer competitive salaries with performance-based bonuses and raises at will. We believe that a raise doesn’t need to be tied to an annual review.
Stock Options 📈 We believe that all employees deserve to own a part of Tartan. Everyone should be rewarded for a successful company outcome.
Health Insurance 💪 We believe you and your family deserve robust health coverage because we care about them too. A health policy of 5 lakhs is provided and other benefits to you and your family. ****
Brand new MacBook 💻 You get a MacBook you can use for working anywhere, irrespective of your role at Tartan.
Unlimited Sick Leaves ❤ Times are tough, and we are all in this together. Sick leaves are not meant just for yourself but also to take care of your loved ones when they need you the most.
Passion Fund 🏀 Invest in yourself or your passion project. Take a course, do gardening or start a newsletter. At Tartan, we want to invest in your professional growth and personal.
Wind Down 🎥 Whether it’s Netflix, Prime, Hotstar with the family, or cozying up with an audio-book, we provide a monthly stipend to spend on the streaming, entertainment, or news sources of your choice.

We are not rigid. If you are a hard worker and are willing to learn, we'd love to hear from you.

If there isn’t an open position for you, don’t worry!

You can e-mail us at [email protected] and let us know how you can help grow and build Tartan in your way, and why you would be a great addition to our team.

Connect with the team

Prabhat Shobha

Connect

Ashish Goyal

Connect

Company social profiles

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