Data Scientist

at Analytics Consulting Company | REMOTE

Agency job
via Unnati
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Remote, Bengaluru (Bangalore)
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2 - 4 yrs
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₹18L - ₹20L / yr
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Full time
Skills
Data Science
R Programming
Python
MongoDB
SQL
Predictive analytics
Regression analysis
Deep Learning
Do you want your software skills to contribute meaningfully into finding technology driven solutions for various businesses and alongside grow your career, then read on.
 
Our client provides data-based process optimization and analytics solutions to businesses worldwide. Their innovative algorithms and customized IT solutions cater to complex problems related to every field or industry, through tools that are non standard and are backed-up by extensive research. They serve startups as well as large, medium and small enterprises, a majority of their clients being industry leaders.
 
With registered offices in India, USA and UAE, their projects support various sectors and functions like logistics, IT, Retail, Ecommerce, Healthcare industry among others, across Asia, America and Europe. The founder holds a Master’s degree from IIT and a PhD in Operations Research from USA, with rich experience in Optimization and Analytics for various industries. His team of top scientists and pedagogy experts are focusing on innovative revenue generation ideas with minimum operational costs.
 
As a Data Scientist, you will apply expertise in machine-learning, data mining and statistical methods to design, prototype, and build the next-generation analytics engines and services.
 
What you will do:
  • Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
  • Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
  • Collaborating with data engineers & architects to implement and deploy scalable solutions
  • Communicating results to diverse audiences with effective writing and visualizations
  • Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
  • Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

 

 

What you need to have:
  • 2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
  • Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
  • Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
  • Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
  • Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
  • Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
  • DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics
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Greetings!!

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Preferred Qualifications

  • AWS Lambda function development experience with Java and/or Python.
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  • API Gateway
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  • Kinesis
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  • Data Lake Experience
  • Python
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  • Relational Databases (e.g., MySQL, PostgreSQL, Oracle, etc.).
  • Gradle and/or Maven.
  • JUnit
  • Git
  • Scrum
  • Experience with Unix and/or macOS.
  • Immediate Joiners

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  • AWS / GCP / Azure Certification.
  • Cloud development experience with Google Cloud or Azure

 

Job posted by
Ranjini A R

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at Artivatic.ai

Founded 2017  •  Product  •  20-100 employees  •  Raised funding
Natural Language Processing (NLP)
Artificial Intelligence (AI)
Voice recognition
Machine Learning (ML)
Data Science
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Bengaluru (Bangalore)
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2 - 5 yrs
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₹10L - ₹15L / yr
We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.
Job posted by
Akanksha naini

Data Scientist

at Thrymr Software

Founded 2013  •  Products & Services  •  100-1000 employees  •  Profitable
R Programming
Python
Data Science
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Hyderabad
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0 - 2 yrs
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₹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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