PythonAnalytics Job Description
We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will
partner closely with leaders across the organization, working together to understand the how
and why of people, team and company challenges, workflows and culture. The team is
responsible for delivering data and insights that drive decision-making, execution, and
investments for our product initiatives.
You will work cross-functionally with product, marketing, sales, engineering, finance, and our
customer-facing teams enabling them with data and narratives about the customer journey.
You’ll also work closely with other data teams, such as data engineering and product analytics,
to ensure we are creating a strong data culture at Blend that enables our cross-functional partners
to be more data-informed.
Role : DataEngineer
Please find below the JD for the DataEngineer Role..
Location: Guindy,Chennai
How you’ll contribute:
• Develop objectives and metrics, ensure priorities are data-driven, and balance short-
term and long-term goals
• Develop deep analytical insights to inform and influence product roadmaps and
business decisions and help improve the consumer experience
• Work closely with GTM and supporting operations teams to author and develop core
data sets that empower analyses
• Deeply understand the business and proactively spot risks and opportunities
• Develop dashboards and define metrics that drive key business decisions
• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,
and Workato
• Design our Analytics and Business Intelligence architecture, assessing and
implementing new technologies that fitting
• Work with our engineering teams to continually make our data pipelines and tooling
more resilient
Who you are:
• Bachelor’s degree or equivalent required from an accredited institution with a
quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist
• Must have strong SQL and data modeling skills, with experience applying skills to
thoughtfully create data models in a warehouse environment.
• A proven track record of using analysis to drive key decisions and influence change
• Strong storyteller and ability to communicate effectively with managers and
executives
• Demonstrated ability to define metrics for product areas, understand the right
questions to ask and push back on stakeholders in the face of ambiguous, complex
problems, and work with diverse teams with different goals
• A passion for documentation.
• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a
dynamic environment.
• A bias towards communication and collaboration with business and technical
stakeholders.
• Quantitative rigor and systems thinking.
• Prior startup experience is preferred, but not required.
• Interest or experience in machine learning techniques (such as clustering, decision
tree, and segmentation)
• Familiarity with a scientific computing language, such as Python, for data wrangling
and statistical analysis
• Experience with a SQL focused data transformation framework such as dbt
• Experience with a Business Intelligence Tool such as Mode/Tableau
Mandatory Skillset:
-Very Strong in SQL
-Spark OR pyspark OR Python
-Shell Scripting
Subodh Popalwar
Software Engineer, Memorres
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Amazon Web Services (AWS)A stealth startup, born from research at Stanford's Human-Centred AI Lab, is building an AI Chief of Staff, designed to revolutionize how we work.
Most companies building AI agents are automating routine work. But we want to hold AI to a higher bar – an AI that “reasons” and helps humans deal with cognitive overload.
Come work at the intersection of cutting-edge NLP, generative AI and graph learning ML techniques. Help build technology that empowers, not exhausts!
Team: Stanford founder with background in data science, investing, and startups; Staff engineer at Amazon; and top-tier AI practitioners as Advisors (ex-Head of AI at Spotify, Senior Eng Director at Pinterest, AI 2030 Global Leader among others). Harvard and Stanford engineers contributed to early product development.
Role: Founding ML Engineer, full-time
Location: India. We can sponsor visas to relocate to the US based on fit.
Compensation: Around INR 25 lakh based on experience + equity
Required Qualifications
- Bachelor’s degree or master’s (preferred) in computer science, engineering, mathematics, or a related technical field from a top-tier institution
- 3+ years of experience building and deploying ML models in production, ideally with “0 to 1” ML work
Technical
- Expertise in NLP: Hugging Face Transformers, BERT, RoBERTa, and techniques like text classification and semantic clustering.
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Come, join us on our journey to provide jobs to a million people by 2026
Who We Are?
Wishup is India's leading remote employee platform helping US-based businesses in building highly efficient remote teams. Founded in the year 2015 by IITM & IIMA alumni and With a clientele of some of the hottest startups in the US, Wishup is backed by marquee investors like Orios Venture Partners, Inflection Point Ventures, 500Startups, and we have been consistently rated as one of the most coveted places to work at.
We are witnessing phenomenal month-on-month growth and stand at a cusp of a revolution in the remote workforce industry. This is your chance to be a part of the revolution - we are inviting applications for our in-house position of Content Writer (Blogs).
What’s in it for you?
- Great Pay
- Be part of a 100x growth story - Wishup has grown 10x in the last 18 months
- High growth potential & impact - an early stage in Wishup’s journey
- Work from home (or anywhere), forever!
What are we looking for?
-3+years of work experience in writing blogs-Experience in writing content for marketing campaigns
-Experience in creating long-form content
-Experience in writing articles for magazine features and guest blog website
-Creative mind and storytelling skills- Excellent written and verbal English communication skills
Work Responsibilities
- Research industry-related topics (combining online sources, interviews, and studies)
- Write clear marketing/blog copy to promote our services
- Prepare well-structured drafts using Content Management Systems
- Proofread and edit blog posts before publication
- Submit work to editors for input and approval
- Ensure all-around consistency (style, fonts, images, and tone)
- Update website content as needed
- Coordinate with marketing and design teams to illustrate articles
- Conduct simple keyword research and use SEO guidelines to increase web traffic
Job Prerequisites (to be verified during the interview process)
- High-speed internet connection
- Laptop with integrated camera & a pair of headphones
- Quiet workspace
Company Reviews
https://www.glassdoor.co.in/Reviews/Wishup-Reviews-E1511572.htm?filter.iso3Language=eng">https://www.glassdoor.co.in/Reviews/Wishup-Reviews-E1511572.htm?filter.iso3Language=eng
Social Media Links
LinkedIn - https://www.linkedin.com/company/wishup-services/">https://www.linkedin.com/company/wishup-services/
Facebook - https://www.facebook.com/wishupnow/">https://www.facebook.com/wishupnow/
Twitter - https://twitter.com/wishupnow">https://twitter.com/wishupnow
Instagram - https://www.instagram.com/wishupnow/">https://www.instagram.com/wishupnow/
Training at Wishup
https://www.youtube.com/watch?v=6Uolgas0Uj4
Life at Wishup
https://www.youtube.com/watch?v=qHPMod_jzmA
Job Description: Hiring for Real Estate Rental Division - AZURO - Sales Manager
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sarita dot kumari at squareyards dot co dot in
Our growing company is in need of an experienced and resourceful Business Development Executive to develop and implement growth opportunities in existing and new markets. We’re searching for professionals that have a solid track record of creating long-term value for organizations. We’re looking for a leader who understands how to leverage real data and capitalize on business trends and opportunities. We’re looking for managers who are customer-obsessed and ready to solve the changing needs of our clients. Candidates should have strong communication and leadership skills.
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Generating client leadsfor MyClassCampus through references, direct
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Doing product demo, follow-up, negotiation and business deals with potential
International clients
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LaravelAmazon Web Services (AWS)JavascriptPython
Data Science
R ProgrammingAbout us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
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Software Engineer, Memorres