Data Scientist

at Entropik Technologies Pvt. Ltd.

DP
Posted by Anshul Chawla
icon
Bengaluru (Bangalore)
icon
2 - 6 yrs
icon
₹6L - ₹23L / yr
icon
Full time
Skills
Data Science
Python
Machine Learning (ML)
Deep Learning
At Entropik Technologies, we build systems that measure and analyzes human emotions at an unprecedented scale, with accuracy, speed, and mission-critical availability. We work with some of the leading brands and agencies across the globe who utilizes our platform to improve overall customer experience, understand consumer behavior and their subconscious responses. The Data Science team at Entropik is a high profile team that is a center of innovation for the company and a major contributor to the company's core products. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds. We're passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table. Responsibilities: Work on challenging fundamental data science problems in affective computing Propose and develop solutions independently and work with other data scientists Drive the collection of new data and the refinement of existing data sources Continuous focus on enhancing the current models with an overall goal of improving the accuracy of different emotion touch points Prepare white papers, scientific publications and conference presentations Work closely with product and engineering teams to identify and answer important product questions Communicate findings to product managers and engineer Analyze and interpret the results Develop best practices for instrumentation and experimentation and communicate those to product engineering teams Requirements: Masters or Ph.D. in a relevant technical (deep learning, machine learning, computer science, physics, mathematics, statistics, or related field), or 4+ years' experience in a relevant role Extensive experience solving analytical problems using quantitative approaches using machine learning methods Should be experienced in Computer Vision and Visual Feature Extraction. Experienced with Deep Learning Libraries like Tensorflow, Pytorch and architectures like CNN, RCNN. Track record of using advanced statistical methods, information retrieval, data mining techniques Comfort manipulating and analyzing complex, high-volume, high-dimensional data from varying sources A strong passion for empirical research and for answering hard questions with data A flexible analytic approach that allows for results at varying levels of precision Fluency with at least one scripting language such as Python Experience with at least some of the following machine learning libraries: scikit-learn, H2O, SparkML, etc Experience with practical data science: source control workflows, deploying machine learning models in production, real-time machine learning.

About Entropik Technologies Pvt. Ltd.

Optimize your Ads, Trailers, Products and User Experience (UX) using Emotion Recognition Technology
Founded
2016
Type
Product
Size
20-100 employees
Stage
Raised funding
View full company details
Why apply to jobs via Cutshort
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
2101133
Matches delivered
3712187
Network size
15000
Companies hiring

Similar jobs

Data Driven Product Manager

at SoStronk

Founded 2014  •  Products & Services  •  20-100 employees  •  Raised funding
Data Analytics
Data Science
Product Strategy
Product Management
KPI management
Game Design
Gamification
SQL
icon
Remote only
icon
3 - 8 yrs
icon
₹20L - ₹30L / yr

About SoStronk

 

SoStronk is a 30 person strong team of gamers, storytellers, engineers, designers and trailblazers who are disrupting gaming and esports at scale. We have built market leading platforms in the esports space for over 5 years and are now positioned for meteoric growth with our latest social gaming platform - IMBR (I am Battle Ready). 

 

Funded by some of the leading strategics in the space - Dream11 (Dream Capital) & Nodwin Gaming (Krafton), IMBR is well on its way to becoming a category creating social gaming platform.    

 

Who you are:

 

We’re looking for an experienced data scientist who has had success working with experts in cross-functional teams containing Product Managers, Engineers, Designers, and more. A data-driven individual who is just as passionate about data visualization and analytics as they are interested in deconstructing apps, human psychology and gamification.  


Our ideal squad-mate is data obsessed, understands the difference between being data informed vs being data blind and is excited by navigating the unknown, collaborating, succeeding and building amazing, industry-leading products: someone who can work iteratively but also knows when it’s time to dream big and shake things up. You are or have


  • 3+ years as a Data Scientist:  creating measurable impact on features and products. You have a demonstrated track record of scoping and executing complex data projects with high business impact. Startup experience is preferred, ideally in gaming/B2C space. 
  • Strong programming skills: in Python and SQL and experience with & knowledge of: Cloud platforms such as AWS or Google Cloud; Big data using Hive, Spark, EMR etc
  • Full stack data scientist: you are a wizard with the entire pipeline of data analytics, familiarity with analytics platforms such as Amplitude, Branch among others.
  • Impact-driven: You understand KPI’s and north star metrics. You get excited by measuring impact of features and taking data-informed decisions with regards to engagement, retention and monetisation. 
  • Storyteller: You are a storyteller who can convert your data insights into stories with precision and empathy; in doing so get buy-ins from your fellow peers to create impact.
  • User-obsessed: You are deeply empathetic, constantly putting yourself in the shoes of the end users, be their psychologist by understanding their internal and external characteristics, be their personal trainer by figuring out what makes them tick so that they achieve their goals.
  • Renaissance (wo)man. You’re curious. You’re always learning. You’re as comfortable communicating and empathizing with an end user as you are with a designer or engineer
  • Good helicopter. You can alternate between 10,000 foot and 10 foot views easily, and at the right time. Big picture product objectives to microscopic feature alignments all in a day’s work.  
  • High agency leader. You’re kind, charismatic and humble. Teams want to be in the trenches with you, and to build something great by your side. You are self-driven with regards to constantly analyzing your dashboards to find even the smallest opportunities to optimize for KPIs. 



What You’ll Do:


  • Create and manage dashboards: Build trust among stakeholders by collaborating with fellow leads and peers on an constantly evolving data pipeline; with company and product milestones in mind.  
  • Become a domain Leader: Maintain expertise of our domain and market trends, competitor analysis as well as being on the pulse of which mid-core games to support next using platforms such as data.ai (formerly app annie). 
  • Be a metric driver: Define metrics for everything we should be focusing on building, measure it and drive it. Use data-informed decision making to get buy-in from all your fellow squad members.
  • Drive experimentation culture: Figure out ideal A/B tests to increase KPI impact, execute them and continue to evolve experimentation with culture with little to none approval culture.
  • Be the glue. Cross-functionally collaborate with growth, design and engineering to drive the product KPIs further. Driving engagement, retention and monetisation strategies as part of a cross-functional team.
  • Be the co-pilot. Work closely alongside the founders in driving the product vision, in particular by being the co-pilot of the CPO. 


You're also excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day. You’re a kind, passionate and collaborative problem-solver who seeks and gives candid feedback, and values the chance to make an important impact.

If this sounds like you, you'll fit right in at SoStronk.

Job posted by
Ajaikumar Ravichandran

Fresher Data Engineer- Python+SQL (Internship+Job Opportunity)

at Fragma Data Systems

Founded 2015  •  Products & Services  •  employees  •  Profitable
SQL
Data engineering
Big Data
Python
icon
Remote, Bengaluru (Bangalore), Hyderabad
icon
0 - 1 yrs
icon
₹2.5L - ₹4L / yr
● Hands-on Work experience as a Python Developer
● Hands-on Work experience in SQL/PLSQL
● Expertise in at least one popular Python framework (like Django,
Flask or Pyramid)
● Knowledge of object-relational mapping (ORM)
● Familiarity with front-end technologies (like JavaScript and HTML5)
● Willingness to learn & upgrade to Big data and cloud technologies
like Pyspark Azure etc.
● Team spirit
● Good problem-solving skills
● Write effective, scalable code
Job posted by
Evelyn Charles

Data Engineer

at TIGI HR Solution Pvt. Ltd.

Founded 2014  •  Services  •  employees  •  Profitable
Data engineering
Hadoop
Big Data
Python
SQL
Amazon Web Services (AWS)
Windows Azure
icon
Mumbai, Bengaluru (Bangalore), Pune, Hyderabad, Noida
icon
2 - 5 yrs
icon
₹10L - ₹17L / yr
Position : Data Engineer
Employee Strength : around 600 in all over India
Working days: 5 days
Working Time: Flexible
Salary : 30-40% Hike on Current CTC
As of now work from home.
 
Job description:
  • Design, implement and support an analytical data infrastructure, providing ad hoc access to large data sets and computing power.
  • Contribute to development of standards and the design and implementation of proactive processes to collect and report data and statistics on assigned systems.
  • Research opportunities for data acquisition and new uses for existing data.
  • Provide technical development expertise for designing, coding, testing, debugging, documenting and supporting data solutions.
  • Experience building data pipelines to connect analytics stacks, client data visualization tools and external data sources.
  • Experience with cloud and distributed systems principles
  • Experience with Azure/AWS/GCP cloud infrastructure
  • Experience with Databricks Clusters and Configuration
  • Experience with Python, R, sh/bash and JVM-based languages including Scala and Java.
  • Experience with Hadoop family languages including Pig and Hive.
Job posted by
Rutu Lakhani

Big Data Engineer

at SmartCow

Founded 2016  •  Products & Services  •  20-100 employees  •  Raised funding
Big Data
Hadoop
Apache Kafka
RabbitMQ
Apache Spark
Apache Hadoop
Vertica
Apache Storm
Python
icon
Hyderabad, Bengaluru (Bangalore)
icon
5 - 10 yrs
icon
₹15L - ₹30L / yr

We are in an expansion mode, and thus our team is working on various stages of multiple projects. Thus we require engineers who can come in and remove the roadblocks by identifying time consuming processes and building scalable solutions. 


Responsibilities:

  • Candidates need to design and develop recommended systems and consult with the internal team to ensure smooth implementation
  • Focus on solving problems and creating value for the team by building solutions that are reliable and scalable 
  • Develop custom build software on company’s stack
  • Improve deployment capacity for customer facing systems using Hadoop, spark, java, python, elastic search

Requirements: 

  • Hands on experience with Hadoop ecosystem tools like Hive, Sqoop, YARN, HDFS
  • Strong scripting experience - python, ruby or bash
  • Distributed systems knowledge, preferably ELK or Solr, Kafka, Vertica, Hadoop, RabbitMQ, Storm
  • Software and systems solution skills with technologies such as Python, Java, C++, SQL, Hadoop, Elasticsearch,
  • Identify solutions and potential snags within engineering
  • Have a creative bent in bringing solutions
  • Ability to work across the team 
  • 5+ years of experience 
Job posted by
Rupak Rupak

Machine Learning Engineer

at Leading Multinational Co

Machine Learning (ML)
icon
Mumbai
icon
2 - 9 yrs
icon
₹8L - ₹27L / yr

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

  • Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
  • Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.
  • Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.
  • Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.
  • Analyze the errors of the model and design strategies to overcome them.
  • Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

  • Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference
  • Experience of machine learning algorithms and libraries
  • Understanding of data structures, data modeling and software architecture.
  • Deep knowledge of math, probability, statistics and algorithms
  • Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon
  • Big data environment: Hadoop, Spark
  • Programming languages: Python, R, PySpark
  • Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

  • Sampling data: bagging & boosting, bootstrapping
  • Neural networks: ANN, CNN, RNN related topics
  • Deep learning: Keras, Tensorflow
  • Experience with AWS Sagemaker deployment and agile methodology

 

 

Job posted by
Richa Awasthi

Senior Software Engineer (Architect), Data

at Uber

Founded 2012  •  Product  •  500-1000 employees  •  Raised funding
Big Data
Hadoop
kafka
Spark
Apache Hive
Java
Python
Scala
Apache Hadoop
Apache Impala
Apache Drill
Apache Spark
tez
presto
icon
Bengaluru (Bangalore)
icon
7 - 15 yrs
icon
₹0L / yr

Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities: 

 

  • Demonstrate tech expertise Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions. 
  • Execute large scale projects Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
  • Collaborate across teams Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
  • Coach engineers Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
  • Tech leadership Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.


What You’ll Do

  • Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
  • Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data. 
  • Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.

 

What You’ll Need

  • 7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
  • Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
  • Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
  • Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
  • Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
  • A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
  • Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.
Job posted by
Suvidha Chib

Senior Artificial Intelligence/Machine Learning Engineer

at Artivatic.ai

Founded 2017  •  Product  •  20-100 employees  •  Raised funding
Python
Machine Learning (ML)
Artificial Intelligence (AI)
Natural Language Processing (NLP)
TensorFlow
Hadoop
Spark
Deep Learning
icon
Bengaluru (Bangalore)
icon
3 - 10 yrs
icon
₹6L - ₹12L / yr
Responsibilities :- Define the short-term tactics and long-term technology strategy.- Communicate that technical vision to technical and non-technical partners, customers and investors.- Lead the development of AI/ML related products as it matures into lean, high performing agile teams.- Scale the AI/ML teams by finding and hiring the right mix of on-shore and off-shore resources.- Work collaboratively with the business, partners, and customers to consistently deliver business value.- Own the vision and execution of developing and integrating AI & machine learning into all aspects of the platform.- Drive innovation through the use of technology and unique ways of applying it to business problems.Experience and Qualifications :- Masters or Ph.D. in AI, computer science, ML, electrical engineering or related fields (statistics, applied math, computational neuroscience)- Relevant experience leading & building teams establishing technical direction- A well-developed portfolio of past software development, composed of some mixture of professional work, open source contributions, and personal projects.- Experience in leading and developing remote and distributed teams- Think strategically and apply that through to innovative solutions- Experience with cloud infrastructure- Experience working with machine learning, artificial intelligence, and large datasets to drive insights and business value- Experience in agents architecture, deep learning, neural networks, computer vision and NLP- Experience with distributed computational frameworks (YARN, Spark, Hadoop)- Proficiency in Python, C++. Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.)Personal Attributes :- Excellent communication skills- Strong fit with the culture- Hands-on approach, self-motivated with a strong work ethic- Ability to learn quickly (technology, business models, target industries)- Creative and inspired.Superpowers we love :- Entrepreneurial spirit and a vibrant personality- Experience with lean startup build-measure-learn cycle- Vision for AI- Extensive understanding of why things are done the way they are done in agile development.- A passion for adding business valueNote: Selected candidate will be offered ESOPs too.Employment Type : Full TimeSalary : 8-10 Lacs + ESOPFunction : Systems/Product SoftwareExperience : 3 - 10 Years
Job posted by
Layak Singh

Data Scientist

at Octro Inc

Founded 2014  •  Product  •  100-500 employees  •  Profitable
Data Science
R Programming
Python
icon
Noida, NCR (Delhi | Gurgaon | Noida)
icon
1 - 7 yrs
icon
₹10L - ₹20L / yr

Octro Inc. is looking for a Data Scientist who will support the product, leadership and marketing teams with insights gained from analyzing multiple sources of data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. 

 

They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. 

 

They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities :

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

- Mine and analyze data from multiple databases to drive optimization and improvement of product development, marketing techniques and business strategies.

- Assess the effectiveness and accuracy of new data sources and data gathering techniques.

- Develop custom data models and algorithms to apply to data sets.

- Use predictive modelling to increase and optimize user experiences, revenue generation, ad targeting and other business outcomes.

- Develop various A/B testing frameworks and test model qualities.

- Coordinate with different functional teams to implement models and monitor outcomes.

- Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications :

- Strong problem solving skills with an emphasis on product development and improvement.

- Advanced knowledge of SQL and its use in data gathering/cleaning.

- Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.

- Experience working with and creating data architectures.

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

- Excellent written and verbal communication skills for coordinating across teams.

Job posted by
Reshma Suleman

Data Analyst

at Yulu Bikes Pvt Ltd

Founded 2017  •  Products & Services  •  20-100 employees  •  Raised funding
Data Science
Data Analytics
SQL
Python
Datawarehousing
Big Data
Geospatial analysis
icon
Bengaluru (Bangalore)
icon
1 - 2 yrs
icon
₹7L - ₹12L / yr
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.
Job posted by
Keerthana k

Data Scientist

at Monexo FinTech (P) Ltd

Founded 2016  •  Products & Services  •  20-100 employees  •  Raised funding
Data Science
Python
R Programming
icon
Mumbai, Chennai
icon
1 - 3 yrs
icon
₹3L - ₹5L / yr
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
Job posted by
Mukesh Bubna
Did not find a job you were looking for?
icon
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
Get to hear about interesting companies hiring right now
iconFollow Cutshort
Want to apply to this role at Entropik Technologies Pvt. Ltd.?
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Learn more
Get to hear about interesting companies hiring right now
iconFollow Cutshort