Data Analyst

at Yulu Bikes Pvt Ltd

DP
Posted by Keerthana k
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Bengaluru (Bangalore)
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1 - 2 yrs
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₹7L - ₹12L / yr
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Full time
Skills
Data Science
Data Analytics
SQL
Python
Datawarehousing
Big Data
Geospatial analysis
Skill Set 
SQL, Python, Numpy,Pandas,Knowledge of Hive and Data warehousing concept will be a plus point.

JD 

- Strong analytical skills with the ability to collect, organise, analyse and interpret trends or patterns in complex data sets and provide reports & visualisations.

- Work with management to prioritise business KPIs and information needs Locate and define new process improvement opportunities.

- Technical expertise with data models, database design and development, data mining and segmentation techniques

- Proven success in a collaborative, team-oriented environment

- Working experience with geospatial data will be a plus.

About Yulu Bikes Pvt Ltd

Smart and Sustainable Micro Mobility for Urban India.

A company driven by the passion to transform the mobility landscape, Yulu truly believes in achieving the impossible. We have carefully handpicked individuals who place their confidence and commitment in the vision of Yulu - to reduce traffic congestion and do so in a sustainable way. Yuluites challenge the everyday routine and work hard to create meaningful solutions for making mobility a seamless experience for everyone.

 

If you’re passionate about technology, the environment and changing the way the world moves, we’d love to welcome you! Join Us. And together we'll reinvent every city's mobility landscape.

Founded
2017
Type
Products & Services
Size
20-100 employees
Stage
Raised funding
View full company details
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at Kwalee

Founded 2011  •  Product  •  100-500 employees  •  Profitable
Data Analytics
Data Science
SQL
NOSQL Databases
Python
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Bengaluru (Bangalore)
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1 - 8 yrs
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Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Traffic Cop 3D and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope and Die by the Blade. 

With a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, we have a truly global team making games for a global audience. And it’s paying off: Kwalee games have been downloaded in every country on earth! If you think you’re a good fit for one of our remote vacancies, we want to hear from you wherever you are based.

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

What’s the job?

As a Data Analyst (Games Optimisation) you will be responsible for optimising in-game features and design, utilising A-B testing and multivariate testing of in-game components.


What you will be doing 

  • Investigate how millions of players interact with Kwalee games.

  • Perform statistical analysis to quantify the relationships between game elements and player engagement.

  • Design experiments which extract the most valuable information in the shortest time.

  • Develop testing plans which reveal complex interactions between game elements. 

  • Collaborate with the design team to come up with the most effective tests.

  • Regularly communicate results with development, management and data science teams.

 
How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.

  • You'll think creatively and be motivated by challenges and constantly striving for the best.

  • You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!


Team

Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.


Skills and requirements

  • A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences

  • A record of outstanding problem solving ability in a commercial or academic setting

  • Experience using Python for data analysis and visualisation.

  • An excellent knowledge of statistical testing and experiment design.

  • Experience manipulating data in SQL and/or NoSQL databases.


We offer

  • We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment

  • In addition to a competitive salary we also offer private medical cover and life assurance

  • Creative Wednesdays! (Design and make your own games every Wednesday)

  • 20 days of paid holidays plus bank holidays 

  • Hybrid model available depending on the department and the role

  • Relocation support available 

  • Great work-life balance with flexible working hours

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  • Monthly employee awards

  • Free snacks, fruit and drinks


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Founded 2011  •  Product  •  100-500 employees  •  Profitable
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We have a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, and we’ve recently acquired our first external studio, TicTales which is based in France. We have a truly global team making games for a global audience. And it’s paying off: Kwalee has been recognised with the Best Large Studio and Best Leadership awards from TIGA (The Independent Game Developers’ Association) and our games have been downloaded in every country on earth!

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

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“My work allows Kwalee staff to see important information on their games!”

 
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Rajeev T

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Founded 2014  •  Products & Services  •  100-1000 employees  •  Profitable
Data engineering
Big Data
Hadoop
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Bengaluru (Bangalore)
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Responsibilities

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  • Secure and manage when needed GPU cluster resources for events
  • Write comprehensive internal feedback reports and find opportunities for improvements
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Skills and Qualifications

  • Strong Hands-on experience in Python Programming
  • Working experience with Computer Vision models - Object Detection Model, Image Classification
  • Good experience in feature extraction, feature selection techniques and transfer learning
  • Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
  • Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
  • Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
  • Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
  • Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
  • Exposure to OpenCV Familiarity with GPUs + CUDA
  • Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
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  • Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
  • Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

 

 

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saranya v

Lead Data Scientist

at Spotmentor Technologies

Founded 2018  •  Product  •  20-100 employees  •  Raised funding
Python
Machine Learning (ML)
Natural Language Processing (NLP)
NOSQL Databases
icon
NCR (Delhi | Gurgaon | Noida)
icon
2 - 5 yrs
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₹20L - ₹30L / yr
Spotmentor is focussed on using the Intelligence-age tools and technologies like AI and Text analytics to create HR technology products which go beyond compliance and ERPs to give HR the power to become strategic, improve business results and increase the competitiveness. The HR and People departments have long sought to become strategic partners with businesses. We are focussed on taking this concept out of the board room meetings and making it a reality and you can be a part of this journey. At the end of it, you would be able to claim that there was an inflection point in History, which changed how business was transacted and you made that happen. Our first product is a Learning and Skill development platform which helps the organisations to acquire capabilities critical for them by helping employees attain their best potential through learning opportunities. Spotmentor was started by 4 IIT Kharagpur alumni with experiences in creating Technology products and Management consulting. We are looking for a Data Scientist who will help discover the information hidden in vast amounts of data, and help us make smarter decisions that benefit the employees of our customer organisations. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high quality prediction systems using structured and unstructured data. Technical Responsibilities: - Selecting features, building and optimizing classifiers using machine learning techniques - Data mining using state-of-the-art methods - Extending the existing data sets with third party sources of information - Processing, cleansing, and verifying the integrity of data used for analysis - Build recommendation systems - Automate scoring of documents using machine learning techniques Salary: This is a founding team member role with a salary of 20 Lacs to 30 Lacs per year and a meaningful ESOP component. Location: Gurgaon We believe in making Spotmentor the best place for the pursuit of excellence and diversity of opinions is an important tool to achieve that. Although as a startup our primary objective is growth, Spotmentor is focussed on creating a diverse and inclusive workplace where everyone can attain their best potential and we welcome female, minority and specially abled candidates to apply.
Job posted by
Deepak Singh

Data Scientist

at Thrymr Software

Founded 2013  •  Products & Services  •  100-1000 employees  •  Profitable
R Programming
Python
Data Science
icon
Hyderabad
icon
0 - 2 yrs
icon
₹4L - ₹5L / yr
Company Profile: Thrymr Software is an outsourced product development startup. Our primary development center is in Hyderabad, India with a team of about 100+ members across various technical roles. Thrymr is also in Singapore, Hamburg (Germany) and Amsterdam (Netherlands). Thrymr works with companies to take complete ownership of building their end to end products be it web or mobile applications or advanced analytics including GIS, machine learning or computer vision. http://thrymr.net Job Location Hyderabad, Financial District Job Description: As a Data Scientist, you will evaluate and improve products. You will collaborate with a multidisciplinary team of engineers and analysts on a wide range of problems. As a Data Scientist your responsibility will be (but not limited to) Design, benchmark and tune machine-learning algorithms,Painlessly and securely manipulate large and complex relational data sets, Assemble complex machine-learning strategies, Build new predictive apps and services Responsibilities: 1. Work with large, complex datasets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. 2. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data ​structures and metrics, advocating for changes were needed for both products development and sales activity. 3. Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to various products. 4. Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. 5. Research and develop analysis, forecasting, and optimization methods to improve the quality of uuser-facingproducts; example application areas include ads quality, search quality, end-user behavioral modeling, and live experiments. 6. Apart from the core data science work (subjected to projects and availability), you may also be required to contribute to regular software development work such as web, backend and mobile applications development. Our Expectations 1. You should have at least B.Tech/B.Sc degree or equivalent practical experience (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). 2. You should have practical experience of working experience with statistical packages (e.g., R, Python, NumPy ) ​and databases (e.g., SQL). 3. You should have experience articulating business questions and using mathematical techniques to arrive at an answer using available data​. Experience translating analysis results into business recommendations. 4. You should have strong analytical and research skills 5. You should have good academics 6. You will have to very proactive and submit your daily/weekly reports very diligently 7. You should be comfortable with working exceptionally hard as we are a startup and this is a high-performance work environment. 8. This is NOT a 9 to 5 ​kind of job, you should be able to work long hours. What you can expect 1. High-performance work culture 2. Short-term travel across the globe at very short notices 3. Accelerated learning (you will learn at least thrice as much compared to other companies in similar roles) and become a lot more technical 4. Happy go lucky team with zero politics 5. Zero tolerance for unprofessional behavior and substandard performance 6. Performance-based appraisals that can happen anytime with considerable hikes compared to single-digit annual hikes as the market standard
Job posted by
Sharmistha Debnath
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