Python Developer

Responsibilities:

• Build customer facing solution for Data Observability product to monitor Data Pipelines

• Work on POCs to build new data pipeline monitoring capabilities.

• Building next-generation scalable, reliable, flexible, high-performance data pipeline capabilities for ingestion of data from multiple sources containing complex dataset.

•Continuously improve services you own, making them more performant, and utilising resources in the most optimised way.

• Collaborate closely with engineering, data science team and product team to propose an optimal solution for a given problem statement

• Working closely with DevOps team on performance monitoring and MLOps

Required Skills:

• 3+ Years of Data related technology experience.

• Good understanding of distributed computing principles

• Experience in Apache Spark

•  Hands on programming with Python

• Knowledge of Hadoop v2, Map Reduce, HDFS

• Experience with building stream-processing systems, using technologies such as Apache Storm, Spark-Streaming or Flink

• Experience with messaging systems, such as Kafka or RabbitMQ

• Good understanding of Big Data querying tools, such as Hive

• Experience with integration of data from multiple data sources

• Good understanding of SQL queries, joins, stored procedures, relational schemas

• Experience with NoSQL databases, such as HBase, Cassandra/Scylla, MongoDB

• Knowledge of ETL techniques and frameworks

• Performance tuning of Spark Jobs

• General understanding of Data Quality is a plus point

• Experience on Databricks,snowflake and BigQuery or similar lake houses would be a big plus

• Nice to have some knowledge in DevOps

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Responsibilities:

• Designing and implementing fine-tuned production ready data/ML pipelines in Hadoop platform.
• Driving optimization, testing and tooling to improve quality.
• Reviewing and approving high level & amp; detailed design to ensure that the solution delivers to the business needs and aligns to the data & analytics architecture principles and roadmap.
• Understanding business requirements and solution design to develop and implement solutions that adhere to big data architectural guidelines and address business requirements.
• Following proper SDLC (Code review, sprint process).
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, etc.
• Building robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users.
• Understanding various data security standards and using secure data security tools to apply and adhere to the required data controls for user access in the Hadoop platform.
• Supporting and contributing to development guidelines and standards for data ingestion.
• Working with a data scientist and business analytics team to assist in data ingestion and data related technical issues.
• Designing and documenting the development & deployment flow.

Requirements:

• Experience in developing rest API services using one of the Scala frameworks.
• Ability to troubleshoot and optimize complex queries on the Spark platform
• Expert in building and optimizing ‘big data’ data/ML pipelines, architectures and data sets.
• Knowledge in modelling unstructured to structured data design.
• Experience in Big Data access and storage techniques.
• Experience in doing cost estimation based on the design and development.
• Excellent debugging skills for the technical stack mentioned above which even includes analyzing server logs and application logs.
• Highly organized, self-motivated, proactive, and ability to propose best design solutions.
• Good time management and multitasking skills to work to deadlines by working independently and as a part of a team.

Job description:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Mining data as and when required
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Efficient stakeholder management

Skills and Qualifications

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience with common data science toolkits. 
• Great communication skills
• Experience with data visualisation tools
• Proficiency in using query languages such as SQL
• Good scripting and programming skills 
• Data-oriented personality
• B.Tech, M.Tech, B.S., M.S., MBA 

Requirement / Desired Skills

Data Scientist --  Data mining skills , SQL, Advanced ML Techniques, NLP (natural Language Processing)

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

We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has  world class investors and big data experts as part of the GP,  top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.

We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.

You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.

Requirements:

• Atleast 3 years of relevant ML experience
• Graduation date : 2018 and earlier
•   3-5 years of experience in high level Python programming.
• Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
•   Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques. 
•   Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
• Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
•   Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling. 
•   Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
•   A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
• A valid Github profile with some activity in it

Bonus to have:

•   Experience in storing and retrieving data from large and complex time series databases
•   Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
•   Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation. 
•   Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.) 
•   Knowledge of REST APIs and data extracting and cleaning techniques 
•   Good to have experience in Pyspark or any other big data programming/parallel computing
•   Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
•   Any progress towards CFA or FRM is a bonus
• Average tenure of atleast 1.5 years in a company

We are building a global content marketplace that brings companies and content

creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands.
Our mission is to become the world’s largest content creation and distribution platform for all kinds of content creators and brands.

Our Team

We are a 25+ member company and is scaling up rapidly in both team size and our ambition.

If we were to define the kind of people and the culture we have, it would be -

a) Individuals with an Extreme Sense of Passion About Work

b) Individuals with Strong Customer and Creator Obsession

c) Individuals with Extraordinary Hustle, Perseverance & Ambition

We are on the lookout for individuals who are always open to going the extra mile and thrive in a fast-paced environment. We are strong believers in building a great, enduring

a company that can outlast its builders and create a massive impact on the lives of our

employees, creators, and customers alike.

Our Investors

We are fortunate to be backed by some of the industry’s most prolific angel investors - Kunal Bahl and Rohit Bansal (Snapdeal founders), YourStory Media. (Shradha Sharma); Dr. Saurabh Srivastava, Co-founder of IAN and NASSCOM; Slideshare co-founder Amit Ranjan; Indifi's Co-founder and CEO Alok Mittal; Sidharth Rao, Chairman of Dentsu Webchutney; Ritesh Malik, Co-founder and CEO of Innov8; Sanjay Tripathy, former CMO, HDFC Life, and CEO of Agilio Labs; Manan Maheshwari, Co-founder of WYSH; and Hemanshu Jain, Co-founder of Diabeto.
Backed by Lightspeed Venture Partners