Senior Analyst/Assistant Manager/Manager

About CarWale: CarWale's mission is to bring delight in car buying, we offer a bouquet of reliable tools and services to help car consumers decide on buying the right car, at the right price and from the right partner. CarWale has always strived to serve car buyers and owners in the most comprehensive and convenient way possible. We provide a platform where car buyers and owners can research, buy, sell and come together to discuss and talk about their cars.We aim to empower Indian consumers to make informed car buying and ownership decisions with exhaustive and un-biased information on cars through our expert reviews, owner reviews, detailed specifications and comparisons. We understand that a car is by and large the second-most expensive asset a consumer associates his lifestyle with! Together with CarTrade & BikeWale, we are the market leaders in the personal mobility media space.About the Team:We are a bunch of enthusiastic analysts assisting all business functions with their data needs. We deal with huge but diverse datasets to find relationships, patterns and meaningful insights. Our goal is to help drive growth across the organization by creating a data-driven culture.

We are looking for an experienced Data Scientist who likes to explore opportunities and know their way around data to build world class solutions making a real impact on the business. 

 

Skills / Requirements –

• 3-5 years of experience working on Data Science projects
• Experience doing statistical modelling of big data sets
• Expert in Python, R language with deep knowledge of ML packages
• Expert in fetching data from SQL
• Ability to present and explain data to management
• Knowledge of AWS would be beneficial
• Demonstrate Structural and Analytical thinking
• Ability to structure and execute data science project end to end

 

Education –

Bachelor’s degree in a quantitative field (Maths, Statistics, Computer Science). Masters will be preferred.

 

 

We are looking for an exceptional Software Developer for our Data Engineering India team who can-

contribute to building a world-class big data engineering stack that will be used to fuel us

Analytics and Machine Learning products. This person will be contributing to the architecture,

operation, and enhancement of:

Our petabyte-scale data platform with a key focus on finding solutions that can support

Analytics and Machine Learning product roadmap. Everyday terabytes of ingested data

need to be processed and made available for querying and insights extraction for

various use cases.

About the Organisation:

 

- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.

 

- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom, and India.

 

- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.

Job Description

Position:
Software Developer, Data Engineering team
Location: Pune(Initially 100% Remote due to Covid 19 for coming 1 year)

 

• Our bespoke Machine Learning pipelines. This will also provide opportunities to

contribute to the prototyping, building, and deployment of Machine Learning models.

You:

• Have at least 4+ years’ Experience.
• Deep technical understanding of Java or Golang.
• Production experience with Python is a big plus, extremely valuable supporting skill for

us.

• Exposure to modern Big Data tech: Cassandra/Scylla, Kafka, Ceph, the Hadoop Stack,

Spark, Flume, Hive, Druid etc… while at the same time understanding that certain

problems may require completely novel solutions.

• Exposure to one or more modern ML tech stacks: Spark ML-Lib, TensorFlow, Keras,

GCP ML Stack, AWS Sagemaker - is a plus.

• Experience includes working in Agile/Lean model
• Experience with supporting and troubleshooting large systems
• Exposure to configuration management tools such as Ansible or Salt
• Exposure to IAAS platforms such as AWS, GCP, Azure…
• Good addition - Experience working with large-scale data
• Good addition - Good to have experience architecting, developing, and operating data

warehouses, big data analytics platforms, and high velocity data pipelines

**** Not looking for a Big Data Developer / Hadoop Developer

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

What you will do:

 

What you need to have:

• Minimum 2 years of data analytics and interpretation experience
• Proven experience to show how data analytics shaped strategy, marketing and product. Should have multiple examples of this based on current and past experience
• Strong Data Engineering skills using tools like SQL, Python, Tableau, Power BI, Advanced Excel, PowerQuery etc
• Strong marketing acumen to be able to translate data into marketing outcomes
• Good understanding of Google Analytics, Google AdWords, Facebook Ads, CleverTap and other analytics tools
• Familiarity with data sources like Branch/ Clevertap / Firebase, Big Query, Internal Tables (User/ Click/ Transaction/ Events etc)    

Senior Product Analyst

Pampers Start Up Team

India / Remote Working

 

 

Team Description

Our internal team focuses on App Development with data a growing area within the structure. We have a clear vision and strategy which is coupled up with App Development, Data, Testing, Solutions and Operations. The data team sits across the UK and India whilst other teams sit across Dubai, Lebanon, Karachi and various cities in India.

 

Role Description

In this role you will use a range of tools and technologies to primarily working on providing data design, data governance, reporting and analytics on the Pampers App.

 

This is a unique opportunity for an ambitious candidate to join a growing business where they will get exposure to a diverse set of assignments, can contribute fully to the growth of the business and where there are no limits to career progression and reward.

 

Responsibilities

● To be the Data Steward and drive governance having full understanding of all the data that flows through the Apps to all systems

● Work with the campaign team to do data fixes when issues with campaigns

● Investigate and troubleshoot issues with product and campaigns giving clear RCA and impact analysis

● Document data, create data dictionaries and be the “go to” person in understanding what data flows

● Build dashboards and reports using Amplitude, Power BI and present to the key stakeholders

● Carry out adhoc data investigations into issues with the app and present findings back querying data in BigQuery/SQL/CosmosDB

● Translate analytics into a clear powerpoint deck with actionable insights

● Write up clear documentation on processes

● Innovate with new processes or ways of providing analytics and reporting

● Help the data lead to find new ways of adding value

 

 

Requirements

● Bachelor’s degree and a minimum of 4+ years’ experience in an analytical role preferably working in product analytics with consumer app data

● Strong SQL Server and Power BI required

● You have experience with most or all of these tools – SQL Server, Python, Power BI, BigQuery.

● Understanding of mobile app data (Events, CTAs, Screen Views etc)

● Knowledge of data architecture and ETL

● Experience in analyzing customer behavior and providing insightful recommendations

● Self-starter, with a keen interest in technology and highly motivated towards success

● Must be proactive and be prepared to address meetings

● Must show initiative and desire to learn business subjects

● Able to work independently and provide updates to management

● Strong analytical and problem-solving capabilities with meticulous attention to detail

● Excellent problem-solving skills; proven teamwork and communication skills

● Experience working in a fast paced “start-up like” environment

 

Desirable

• Knowledge of mobile analytical tools (Segment, Amplitude, Adjust, Braze and Google Analytics)
• Knowledge of loyalty data

• Adept at Machine learning techniques and algorithms.

Feature selection, dimensionality reduction, building and

• optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and presenting results
• Proficiency in using query languages such as N1QL, SQL

Experience with data visualization tools, such as D3.js, GGplot,

• Plotly, PyPlot, etc.

Creating automated anomaly detection systems and constant tracking

• of its performance
• Strong in Python is a must.
• Strong in Data Analysis and mining is a must
• Deep Learning, Neural Network, CNN, Image Processing (Must)

Building analytic systems - data collection, cleansing and

• integration

Experience with NoSQL databases, such as Couchbase, MongoDB,

Cassandra, HBase

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

 

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred

• Using statistical and machine learning techniques to analyse large-scale user data, including text data and chat logs; • Applying machine learning techniques for text mining and information extraction based on structured, semi-structured and unstructured data; • Contributing to services like chatbots, voice portals and dialogue systems • Input your own ideas to improve existing processes on services and products

Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore

We're an early stage film-tech startup with a mission to empower filmmakers and independent content creators with data-driven decision-making tools. We're looking for a data person to join the core team. Please get in touch if you would be excited to join us on this super exciting journey of disrupting the film production and distribution business. We are currently collaborating with Rana Daggubatt's Suresh Productions, and work out of their studio in Hyderabad - so exposure and opportunities to work on real issues faced by the media industry will be in plenty.