Big Data Engineer

at Hiring for one of the MNC for India location

Agency job
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Gurugram, Pune, Bengaluru (Bangalore), Delhi, Noida, Ghaziabad, Faridabad
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2 - 9 yrs
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₹8L - ₹20L / yr
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Full time
Skills
Python
Hadoop
Big Data
PySpark
Data engineering
Spark
Apache Hive
Apache HBase

Key Responsibilities : ( Data Developer Python, Spark)

Exp : 2 to 9 Yrs 

Development of data platforms, integration frameworks, processes, and code.

Develop and deliver APIs in Python or Scala for Business Intelligence applications build using a range of web languages

Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.

Elaborate stories in a collaborative agile environment (SCRUM or Kanban)

Familiarity with cloud platforms like GCP, AWS or Azure.

Experience with large data volumes.

Familiarity with writing rest-based services.

Experience with distributed processing and systems

Experience with Hadoop / Spark toolsets

Experience with relational database management systems (RDBMS)

Experience with Data Flow development

Knowledge of Agile and associated development techniques including:

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Similar jobs

Data Engineer

at numadic

Founded 2016  •  Products & Services  •  20-100 employees  •  Raised funding
ETL
Informatica
Data Warehouse (DWH)
Python
SQL
icon
Remote only
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1 - 3 yrs
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₹7L - ₹15L / yr
Numadic is hiring a Data Engineer
We are hiring a Data Engineer to join our team in undisrupting movement. Your role will include working with development teams and product managers to ideate software solutions. To succeed in this role you must have an analytical mind with a keen interest in problem solving and communication.

 

 

About the role:
  1. Apply advanced predictive modeling and statistical techniques to design, build, maintain, and improve upon multiple real-time decision systems.
  2. Visualize and show complex data-sets via multidimensional visualization tools.
  3. Perform data cleansing, transformation & feature engineering.
  4. Design scalable automated data mining, modelling and validation processes.
  5. Produce scalable, reusable, efficient feature code to be implemented on clusters and standalone data servers.
  6. Contribute to the development/ deployment of machine learning algorithms, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

 

 

Role requirements:
  1. An absolute minimum of 1-3 years of relevant data science experience.
  2. Have an Engineering or comparable math / physics degree.
  3. Knowledge & working proficiency in Excel, Python, R
  4. Expert proficiency in at least 2 structured programming languages.
  5. Deep understanding about statistical and analytical models.
  6. Bias for action - Ability to move quickly while taking time out to review the details.
  7. Clear communicator - Ability to synthesise and clearly articulate complex information, highlighting key takeaways and actionable insights.
  8. Team player - Working mostly autonomously, yet being a team player keeping your crews looped-in.
  9. Mindset - Ability to take responsibility for your life and that of your people and projects.
  10. Mindfulness - Ability to maintain practices that keep you grounded.

 

 

This is not a typical 9 to 5 job. This is startup life.
Working at a startup is about being a self-starter and pushing not just for output, but for outcomes too. We are judged by the outcomes we generate in the market and you are measured by the outcomes you generate for your team and for the company. Therefore, just showing up at work on time and leaving on time is not sufficient; actually delivering results is the minimum required performance. We routinely work long hours and it isn't uncommon for this and other roles at Numadic to push the limits. Do not apply if you aren't comfortable with the startup life.

 

 

Numadic operates at the intersection of finance and logistics.
From number one rated mobile apps to industry leading approaches to API finance and transactions, our team does what it takes to simplify movement of goods and people. But what matters even more, is that our customers love the way we do what we do and our end users have uncluttered and uncomplicated experiences.

 

 

Join Numadic
From the founders to our investors and advisors, what we share is a common respect for the value of human life and of meaningful relationships. We are full-stack humans, who work with full-stack humans and seek to do business with full-stack humans. We have turned down projects, when we found misalignment of values at the other end of the table. We do not believe that the customer is always right. We believe that all humans are equal and that the direction of the flow of money should not define the way people are treated. This is life at Numadic.
Job posted by
Enrich Braz

Business Analyst

at GreedyGame

Founded 2013  •  Product  •  20-100 employees  •  Raised funding
MS-Excel
SQL
Data Analytics
Python
R Language
Business Analysis
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Bengaluru (Bangalore)
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1 - 2 yrs
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₹4L - ₹12L / yr

About Us:

GreedyGame is looking for a Business Analyst to join its clan. We are looking to get an enthusiastic Business Analyst who likes to play with Data. You'll be building insights from Data, creating analytical dashboard and monitoring KPI values. Also you will coordinate with teams working on different layers of the infrastructure.

 

Job details:

 

Seniority Level: Associate

Level Industry: Marketing & Advertising

Employment Type: Full Time

Job Location: Bangalore

Experience: 1-2 years

 

WHAT ARE WE LOOKING FOR?

 

  • Excellent planning, organizational, and time management skills.
  • Exceptional analytical and conceptual thinking skills.
  • A previous experience of working closely with Operations and Product Teams.
  • Competency in Excel and SQL is a must.
  • Experience with a programming language like Python is required.
  • Knowledge of Marketing Tools is preferable.

 

 

WHAT WILL BE YOUR RESPONSIBILITIES?

 

  • Evaluating business processes, anticipating requirements, uncovering areas for improvement, developing and implementing solutions.
  • Should be able to generate meaningful insights to help the marketing team and product team in enhancing the user experience for Mobile and Web Apps.
  • Leading ongoing reviews of business processes and developing optimization strategies.
  • Performing requirements analysis from a user and business point of view
  • Combining data from multiple sources like SQL tables, Google Analytics, Inhouse Analytical signals etc and driving relevant insights
  • Deciding the success metrics and KPIs for different Products and features and making sure they are achieved.
  • Act as quality assurance liaison prior to the release of new data analysis or application.

 

Skills and Abilities:

  • Python
  • SQL
  • Business Analytics
  • BigQuery

 

WHAT'S IN IT FOR YOU?

  • An opportunity to be a part of a fast scaling start-up in the AdTech space that offers unmatched services and products.
  • To work with a team of young enthusiasts who are always upbeat and self-driven to achieve bigger milestones in shorter time spans.
  • A workspace that is wide open as per the open door policy at the company, located in the most happening center of Bangalore.
  • A well-fed stomach makes the mind work better and therefore we provide - free lunch with a wide variety on all days of the week, a stocked-up pantry to satiate your want for munchies, a Foosball table to burst stress and above all a great working environment.
  • We believe that we grow as you grow. Once you are a part of our team, your growth also becomes essential to us, and in order to make sure that happens, there are timely formal and informal feedbacks given
Job posted by
Shreyoshi Ghosh

Data Scientist

at Railofy

Founded 2018  •  Product  •  20-100 employees  •  Raised funding
Data Science
Python
R Programming
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Mumbai
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2 - 5 yrs
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₹5L - ₹12L / yr

About Us:

We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.

Functional Experience:

  • Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
  • 2+ years of data science experience working with large datasets
  • Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow
  • Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL
  • Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS
  • Good knowledge of Machine Learning and Statistical time series analysis (optional)
  • Unparalleled logical ability making you the go to guy for all things related to data
  • You love coding like a hobby and are up for a challenge!

 

Cultural:

  • Assume a strong sense of ownership of analytics : Design, develop & deploy
  • Collaborate with senior management, operations & business team
  • Ensure Quality & sustainability of the architecture
  • Motivation to join an early stage startup should go beyond compensation
Job posted by
Manan Jain

Data Engineer

at Looking to hire Data Engineers for a client in Bangalore.

Agency job
via Artifex HR
Big Data
Hadoop
Apache Spark
Spark
Apache Kafka
Data Warehouse (DWH)
Data engineering
Windows Azure
SQL
Python
Scala
Cassandra
PostgreSQL
Microsoft SQL Server DBA
Apache Storm
Datawarehousing
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Bengaluru (Bangalore)
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3 - 5 yrs
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₹8L - ₹10L / yr

We are looking for a savvy Data Engineer to join our growing team of analytics experts. 

 

The hire will be responsible for:

- Expanding and optimizing our data and data pipeline architecture

- Optimizing data flow and collection for cross functional teams.

- Will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

- Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

- Experience with Azure : ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates

- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

- Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc.

Nice to have experience with :

- Big data tools: Hadoop, Spark and Kafka

- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow

- Stream-processing systems: Storm

Database : SQL DB

Programming languages : PL/SQL, Spark SQL

Looking for candidates with Data Warehousing experience, strong domain knowledge & experience working as a Technical lead.

The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

Job posted by
Maria Theyos

Aspirant - Data Science & AI

at Busigence Technologies

Founded 2012  •  Product  •  20-100 employees  •  Bootstrapped
Data Science
Big Data
Machine Learning (ML)
Statistical Analysis
Deep Learning
Python
TensorFlow
Analytics
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Bengaluru (Bangalore)
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0 - 10 yrs
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₹3L - ₹9L / yr
APPLY LINK: http://bit.ly/2yipqSE Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Aspirant - Data Science & AI Team: Sciences Full-Time, Trainee Bangaluru, India Relevant Exp: 0 - 10 Years Background: Top Tier institute Compensation: Above Standards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain 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 six years of 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 our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. 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. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a . For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. Real ROLE We are looking for students, graduates, and experienced folks with real passion for algorithms, computing, and analysis. You would be required to work with our sciences team on complex cases from data science, machine learning, and business analytics. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in NumPy, Pandas, Scikit-learn, SciPy, Stasmodels - collectively you should have implemented atleast 100 different techniques (we averaged out this figure with our past aspirants who have worked on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on EDA cycle, machine learning algorithms, hyper-parameter optimization, ensemble learning, regularization, predictions, clustering, associations - at essential level R5. Must have solved atleast five problems through data science & machine learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted Preferred R6. Good to have required callibre to learn PySpark within four weeks once joined us R7. Good to have required callibre to grasp underlying business for a problem to be solved R8. Good to have understanding on CNNs, RNNs, MLP, Auto-Encoders - at basic level R9. Good to have solved atleast three problems through deep learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted R10. Good to have worked on pre-processing techniques for images, audio, and text - OpenCV, Librosa, NLTK R11. Good to have used pre-trained models - VGGNET, Inception, ResNet, WaveNet, Word2Vec Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors level or above from a top tier institute Y2. Relevant experience of 0 - 10 years working on real-world problems in a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with content, codes & workarounds, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us 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: 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 paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to [email protected] For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/data-science Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.
Job posted by
Seema Verma

Software Architect/CTO

at Blenheim Chalcot IT Services India Pvt Ltd

SQL Azure
ADF
Azure data factory
Azure Datalake
Azure Databricks
ETL
PowerBI
Apache Synapse
Data Warehouse (DWH)
API
SFTP
JSON
Java
Python
C#
Javascript
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
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Mumbai
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5 - 8 yrs
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₹25L - ₹30L / yr
As a hands-on Data Architect, you will be part of a team responsible for building enterprise-grade
Data Warehouse and Analytics solutions that aggregate data across diverse sources and data types
including text, video and audio through to live stream and IoT in an agile project delivery
environment with a focus on DataOps and Data Observability. You will work with Azure SQL
Databases, Synapse Analytics, Azure Data Factory, Azure Datalake Gen2, Azure Databricks, Azure
Machine Learning, Azure Service Bus, Azure Serverless (LogicApps, FunctionApps), Azure Data
Catalogue and Purview among other tools, gaining opportunities to learn some of the most
advanced and innovative techniques in the cloud data space.
You will be building Power BI based analytics solutions to provide actionable insights into customer
data, and to measure operational efficiencies and other key business performance metrics.
You will be involved in the development, build, deployment, and testing of customer solutions, with
responsibility for the design, implementation and documentation of the technical aspects, including
integration to ensure the solution meets customer requirements. You will be working closely with
fellow architects, engineers, analysts, and team leads and project managers to plan, build and roll
out data driven solutions
Expertise:
Proven expertise in developing data solutions with Azure SQL Server and Azure SQL Data Warehouse (now
Synapse Analytics)
Demonstrated expertise of data modelling and data warehouse methodologies and best practices.
Ability to write efficient data pipelines for ETL using Azure Data Factory or equivalent tools.
Integration of data feeds utilising both structured (ex XML/JSON) and flat schemas (ex CSV,TXT,XLSX)
across a wide range of electronic delivery mechanisms (API/SFTP/etc )
Azure DevOps knowledge essential for CI/CD of data ingestion pipelines and integrations.
Experience with object-oriented/object function scripting languages such as Python, Java, JavaScript, C#,
Scala, etc is required.
Expertise in creating technical and Architecture documentation (ex: HLD/LLD) is a must.
Proven ability to rapidly analyse and design solution architecture in client proposals is an added advantage.
Expertise with big data tools: Hadoop, Spark, Kafka, NoSQL databases, stream-processing systems is a plus.
Essential Experience:
5 or more years of hands-on experience in a data architect role with the development of ingestion,
integration, data auditing, reporting, and testing with Azure SQL tech stack.
full data and analytics project lifecycle experience (including costing and cost management of data
solutions) in Azure PaaS environment is essential.
Microsoft Azure and Data Certifications, at least fundamentals, are a must.
Experience using agile development methodologies, version control systems and repositories is a must.
A good, applied understanding of the end-to-end data process development life cycle.
A good working knowledge of data warehouse methodology using Azure SQL.
A good working knowledge of the Azure platform, it’s components, and the ability to leverage it’s
resources to implement solutions is a must.
Experience working in the Public sector or in an organisation servicing Public sector is a must,
Ability to work to demanding deadlines, keep momentum and deal with conflicting priorities in an
environment undergoing a programme of transformational change.
The ability to contribute and adhere to standards, have excellent attention to detail and be strongly driven
by quality.
Desirables:
Experience with AWS or google cloud platforms will be an added advantage.
Experience with Azure ML services will be an added advantage Personal Attributes
Articulated and clear in communications to mixed audiences- in writing, through presentations and one-toone.
Ability to present highly technical concepts and ideas in a business-friendly language.
Ability to effectively prioritise and execute tasks in a high-pressure environment.
Calm and adaptable in the face of ambiguity and in a fast-paced, quick-changing environment
Extensive experience working in a team-oriented, collaborative environment as well as working
independently.
Comfortable with multi project multi-tasking consulting Data Architect lifestyle
Excellent interpersonal skills with teams and building trust with clients
Ability to support and work with cross-functional teams in a dynamic environment.
A passion for achieving business transformation; the ability to energise and excite those you work with
Initiative; the ability to work flexibly in a team, working comfortably without direct supervision.
Job posted by
VIJAYAKIRON ABBINENI

SDE1 Data Scientist

at App-based lending platform. ( AF1)

Agency job
via Multi Recruit
Machine Learning (ML)
Data Science
Data Scientist
Python
pandas
Logistic regression
SKLearn
Random Forest Classifier
Gradient Boosting Regressor
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Bengaluru (Bangalore)
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1 - 2 yrs
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₹15L - ₹17L / yr
  • Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
  • Implement data pipelines, new features, and algorithms that are critical to our production models
  • Create scalable strategies to deploy and execute your models
  • Write well designed, testable, efficient code
  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.

Requirements:

  • 1+ years of experience in applied data science or engineering with a focus on machine learning
  • Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
  • strong quantitative and programming skills with a product-driven sensibility

 

Job posted by
Ayub Pasha

Python Developer

at Intentbase

Founded 2015  •  Product  •  100-500 employees  •  Profitable
Pandas
Numpy
Bash
Structured Query Language
Python
Big Data
NOSQL Databases
icon
Pune
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2 - 5 yrs
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₹5L - ₹10L / yr
We are an early stage startup working in the space of analytics, big data, machine learning, data visualization on multiple platforms and SaaS. We have our offices in Palo Alto and WTC, Kharadi, Pune and got some marque names as our customers. We are looking for really good Python programmer who MUST have scientific programming experience (Python, etc.) Hands-on with numpy and the Python scientific stack is a must. Demonstrated ability to track and work with 100s-1000s of files and GB-TB of data. Exposure to ML and Data mining algorithms. Need to be comfortable working in a Unix environment and SQL. You will be required to do following: Using command line tools to perform data conversion and analysis Supporting other team members in retrieving and archiving experimental results Quickly writing scripts to automate routine analysis tasks Creating insightful, simple graphics to represent complex trends Explore/design/invent new tools and design patterns to solve complex big data problems Experience working on a long-term, lab-based project (academic experience acceptable)
Job posted by
Nischal Vohra

Decision Science Analyst

at Quantiphi Inc.

Founded 2012  •  Products & Services  •  100-1000 employees  •  Bootstrapped
Data Science
Decision Science
Data modeling
Statistical Modeling
Python
Machine Learning (ML)
Artificial Intelligence (AI)
Predictive analytics
icon
Mumbai
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1 - 5 yrs
icon
₹3L - ₹15L / yr
About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.
Job posted by
Bhavisha Mansukhani

Senior Data Scientist

at Paysense

Founded 2015  •  Product  •  100-500 employees  •  Raised funding
Data Science
Python
Perl
Django
Machine Learning (ML)
Data Analytics
icon
NCR (Delhi | Gurgaon | Noida), Mumbai
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2 - 7 yrs
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₹10L - ₹30L / yr
About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.
Job posted by
Pragya Singh
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