Data Scientist

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 Title: Data Science Manager
Job Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.

● Hands-on Work experience as a Python Developer

6-8years of experience in data engineer

Data Engineer JD:

• Designing, developing, constructing, installing, testing and maintaining the complete data management & processing systems.
• Building highly scalable, robust, fault-tolerant, & secure user data platform adhering to data protection laws.
• Taking care of the complete ETL (Extract, Transform & Load) process.
• Ensuring architecture is planned in such a way that it meets all the business requirements.
• Exploring new ways of using existing data, to provide more insights out of it.
• Proposing ways to improve data quality, reliability & efficiency of the whole system.
• Creating data models to reduce system complexity and hence increase efficiency & reduce cost.
• Introducing new data management tools & technologies into the existing system to make it more efficient.
• Setting up monitoring and alarming on data pipeline jobs to detect failures and anomalies

What do we expect from you?

• BS/MS in Computer Science or equivalent experience
• 5 years of recent experience in Big Data Engineering.
• Good experience in working with Hadoop and Big Data technologies like HDFS, Pig, Hive, Zookeeper, Storm, Spark, Airflow and NoSQL systems
• Excellent programming and debugging skills in Java or Python.
• Apache spark, python, hands on experience in deploying ML models
• Has worked on streaming and realtime pipelines
• Experience with Apache Kafka or has worked with any of Spark Streaming, Flume or Storm

 

 

 

 

 

 

 

 

 

 

 

 

Focus Area:

 

R1	Data structure & Algorithms
R2	Problem solving + Coding
R3	Design (LLD)

 

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.

Data Engineer

• Drive the data engineering implementation
• Strong experience in building data pipelines
• AWS stack experience is must
• Deliver Conceptual, Logical and Physical data models for the implementation
teams.

• SQL stronghold is must. Advanced SQL working knowledge and experience
working with a variety of relational databases, SQL query authoring
• AWS Cloud data pipeline experience is must. Data pipelines and data centric
applications using distributed storage platforms like S3 and distributed processing
platforms like Spark, Airflow, Kafka
• Working knowledge of AWS technologies such as S3, EC2, EMR, RDS, Lambda,
Elasticsearch
• Ability to use a major programming (e.g. Python /Java) to process data for
modelling.

DESCRIPTION :- We- re looking for an experienced Data Engineer to be part of our team who has a strong cloud technology experience to help our big data team to take our products to the next level.- This is a hands-on role, you will be required to code and develop the product in addition to your leadership role. You need to have a strong software development background and love to work with cutting edge big data platforms.- You are expected to bring with you extensive hands-on experience with Amazon Web Services (Kinesis streams, EMR, Redshift), Spark and other Big Data processing frameworks and technologies as well as advanced knowledge of RDBS and Data Warehousing solutions.REQUIREMENTS :- Strong background working on large scale Data Warehousing and Data processing solutions.- Strong Python and Spark programming experience.- Strong experience in building big data pipelines.- Very strong SQL skills are an absolute must.- Good knowledge of OO, functional and procedural programming paradigms.- Strong understanding of various design patterns.- Strong understanding of data structures and algorithms.- Strong experience with Linux operating systems.- At least 2+ years of experience working as a software developer or a data-driven environment.- Experience working in an agile environment.Lots of passion, motivation and drive to succeed!Highly desirable :- Understanding of agile principles specifically scrum.- Exposure to Google cloud platform services such as BigQuery, compute engine etc.- Docker, Puppet, Ansible, etc..- Understanding of digital marketing and digital advertising space would be advantageous.BENEFITS :Datalicious is a global data technology company that helps marketers improve customer journeys through the implementation of smart data-driven marketing strategies. Our team of marketing data specialists offer a wide range of skills suitable for any challenge and cover everything from web analytics to data engineering, data science and software development.Experience : Join us at any level and we promise you'll feel up-levelled in no time, thanks to the fast-paced, transparent and aggressive growth of DataliciousExposure : Work with ONLY the best clients in the Australian and SEA markets, every problem you solve would directly impact millions of real people at a large scale across industriesWork Culture : Voted as the Top 10 Tech Companies in Australia. Never a boring day at work, and we walk the talk. The CEO organises nerf-gun bouts in the middle of a hectic day.Money: We'd love to have a long term relationship because long term benefits are exponential. We encourage people to get technical certifications via online courses or digital schools.So if you are looking for the chance to work for an innovative, fast growing business that will give you exposure across a diverse range of the world's best clients, products and industry leading technologies, then Datalicious is the company for you!

-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.