Data Scientist

at Information Solution Provider Company

Agency job
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Delhi, Gurugram, Noida, Ghaziabad, Faridabad
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3 - 7 yrs
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₹10L - ₹15L / yr
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Full time
Skills
SQL
Hadoop
Spark
Data Science
Machine Learning (ML)
Algorithms
Python
Big Data

Job Description:

The data science team is responsible for solving business problems with complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions, apply our analytical and machine learning skills to solve the problem in the best way possible. 

 

Our ideal candidate

The role would be a client facing one, hence good communication skills are a must. 

The candidate should have the ability to communicate complex models and analysis in a clear and precise manner. 

 

The candidate would be responsible for:

  • Comprehending business problems properly - what to predict, how to build DV, what value addition he/she is bringing to the client, etc.
  • Understanding and analyzing large, complex, multi-dimensional datasets and build features relevant for business
  • Understanding the math behind algorithms and choosing one over another
  • Understanding approaches like stacking, ensemble and applying them correctly to increase accuracy

Desired technical requirements

  • Proficiency with Python and the ability to write production-ready codes. 
  • Experience in pyspark, machine learning and deep learning
  • Big data experience, e.g. familiarity with Spark, Hadoop, is highly preferred
  • Familiarity with SQL or other databases.
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Even better
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Remuneration
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Job posted by
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Bengaluru (Bangalore)
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Megha M

Senior Data Scientist | Applied AI

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Founded 2004  •  Products & Services  •  100-1000 employees  •  Profitable
Data Science
Artificial Intelligence (AI)
Deep Learning
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Hadoop
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Senior Data Scientist - Applied AI


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Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

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  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

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from developing new models using pre-existing components to enable current systems to

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most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.


Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.






Your bucket of Undertakings :

  1. Collaborate with team members to develop new models to be used for classification problems
  2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
  3. Use independent judgment to take existing data and build new models from it
  4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
  5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
  6. Lead AI R&D initiatives to include prototypes and minimum viable products
  7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  8. Build reusable and scalable solutions for use across the customer base
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  11. Identify new business opportunities and prioritize pursuits for AI 
  12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

  1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 5+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Research and implement novel machine learning and statistical approaches
  7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 


  1. Extensive experience with Hadoop and Machine learning algorithms
  2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
  3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
  4. Passion for solving NLP problems
  5. Experience with specialized tools and project for working with natural language processing
  6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
  7. Experience with software version control systems like Github
  8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
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Job posted by
Mishita Juneja

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Data Analytics
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SQL
SAP
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Hyderabad
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₹5L - ₹8L / yr
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Spark
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SQL
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Bengaluru (Bangalore)
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• Performance Tuning wrt to executor sizing and other environmental parameters, code optimization, partitions tuning, etc.
• Interact with business users to understand requirements and troubleshoot issues.
• Implement Projects based on functional specifications.


Must-Have Skills:

• Good experience in Pyspark - Including Dataframe core functions and Spark SQL
• Good customer communication.
• Good Analytical skills
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Job posted by
geeti gaurav mohanty

ML Researcher

at Oil & Energy Industry

Machine Learning (ML)
Data Science
Deep Learning
Digital Signal Processing
Statistical signal processing
Python
Big Data
Linux/Unix
OpenCV
TensorFlow
Keras
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NCR (Delhi | Gurgaon | Noida)
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1 - 3 yrs
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₹8L - ₹12L / yr
Understanding business objectives and developing models that help to achieve them,
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
Read more
Job posted by
Susmita Mishra

Data Scientist

at Innoplexus

Founded 2010  •  Product  •  100-500 employees  •  Profitable
Data Science
Python
Machine Learning (ML)
Natural Language Processing (NLP)
Text mining
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Pune
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1 - 6 yrs
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₹6L - ₹20L / yr
Innoplexus offers Data as a Service and Continuous Analytics as a Service product, leveraging Artificial Intelligence and advanced analytics to help reduce the time to market, significantly.Our products leverage proprietary algorithms and patent-pending technologies to help global Life sciences & Financial services organizations with access to relevant data, real-time intelligence & intuitive insights, across the life cycle of the products.We automate the collection, curation, aggregation, analysis & visualization, of billions of data points from thousands of data sources, using domain-specific language processing, ontologies, computer vision, machine learning, network analysis and more.Location: PuneRequired qualification MS in Computer Science, Statistics, Applied Maths or related domain.Key Responsibilities:- Use machine learning & deep learning techniques to create new, scalable solutions for business problems.- Develop NLP & computer vision-based tools and technologies for acquiring, parsing, interpreting and visualizing unstructured data- Analyze and extract relevant information from large amounts of data to help in automating the solutions and optimizing key processes.- Help the team in building large scale continual/online learning system.- Help team to build experimentation to the production pipeline.- Stay current with the latest research and technology and communicate your knowledge throughout the enterprise- Come up with patentable ideas that provide us a competitive advantage.Required Experience:- Strong track record in AI / ML publications in renowned scientific journals or conferences.- Experience in any of the following: Computer Vision, Image Processing, Speech- Recognition, Natural Language Understanding, Machine Learning, Deep Learning, HCI,- Text Mining, Computational Genomics, Bioinformatics, other Machine Intelligence/Artificial Intelligence related areas.- Programming experience in one or more of the following: C, C++, Python.
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Job posted by
Amar Navgire
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