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Senior Data Scientist
Senior Data Scientist
TVARIT GmbH's logo

Senior Data Scientist

Shivani Kawade's profile picture
Posted by Shivani Kawade
4 - 6 yrs
₹15L - ₹25L / yr
Pune
Skills
PyTorch
skill iconPython
Scikit-Learn
NumPy
pandas
SQL
skill iconDocker

Who are we looking for?  


We are looking for a Senior Data Scientist, who will design and develop data-driven solutions using state-of-the-art methods. You should be someone with strong and proven experience in working on data-driven solutions. If you feel you’re enthusiastic about transforming business requirements into insightful data-driven solutions, you are welcome to join our fast-growing team to unlock your best potential.  

 

Job Summary 

  • Supporting company mission by understanding complex business problems through data-driven solutions. 
  • Designing and developing machine learning pipelines in Python and deploying them in AWS/GCP, ... 
  • Developing end-to-end ML production-ready solutions and visualizations. 
  • Analyse large sets of time-series industrial data from various sources, such as production systems, sensors, and databases to draw actionable insights and present them via custom dashboards. 
  • Communicating complex technical concepts and findings to non-technical stakeholders of the projects 
  • Implementing the prototypes using suitable statistical tools and artificial intelligence algorithms. 
  • Preparing high-quality research papers and participating in conferences to present and report experimental results and research findings. 
  • Carrying out research collaborating with internal and external teams and facilitating review of ML systems for innovative ideas to prototype new models. 

 

Qualification and experience 

  • B.Tech/Masters/Ph.D. in computer science, electrical engineering, mathematics, data science, and related fields. 
  • 5+ years of professional experience in the field of machine learning, and data science. 
  • Experience with large-scale Time-series data-based production code development is a plus. 

 

Skills and competencies 

  • Familiarity with Docker, and ML Libraries like PyTorch, sklearn, pandas, SQL, and Git is a must. 
  • Ability to work on multiple projects. Must have strong design and implementation skills. 
  • Ability to conduct research based on complex business problems. 
  • Strong presentation skills and the ability to collaborate in a multi-disciplinary team. 
  • Must have programming experience in Python. 
  • Excellent English communication skills, both written and verbal. 


Benefits and Perks

  • Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you. 
  • Progressive leave policy for effective work-life balance. 
  • Get mentored by highly qualified internal resource groups and opportunity to avail industry-driven mentorship program, as we believe in empowering people.  
  • Multicultural peer groups and supportive workplace policies.  
  • Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work. 


 Hiring Process 

  • Call with Talent Acquisition Team: After application screening, a first-level screening with the talent acquisition team to understand the candidate's goals and alignment with the job requirements. 
  • First Round: Technical round 1 to gauge your domain knowledge and functional expertise. 
  • Second Round: In-depth technical round and discussion about the departmental goals, your role, and expectations.
  • Final HR Round: Culture fit round and compensation discussions.
  • Offer: Congratulations you made it!  


If this position sparked your interest, apply now to initiate the screening process.

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Subodh Popalwar

Software Engineer, Memorres
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About TVARIT GmbH

Founded :
2019
Type :
Products & Services
Size :
20-100
Stage :
Profitable
About

We are a specialized Deep Tech company based in Frankfurt, Germany, and a provider of cutting-edge TVARIT Industrial AI (TiA) Technology with a focus on the manufacturing industry, especially foundries and metalworking companies. Our sole mission is to enable a sustainable, zero-waste manufacturing using our technology by almost eliminating energy losses, waste and maximizing machine and equipment availability. Through our unique patented technologies like "Hybrid AI" & "Transfer learning," we guarantee first results (on average -30% less scrap and -20% less energy consumption) within 2-3 months and thus an ROI under 6 months. With our technology TiA, we combat the knowledge drain at foundries and metal companies. The expert knowledge is "conserved" and continuously increased making the platform smarter and more accurate through longer use. We are creating "Digitally Empowered Operators": by using TiA less experienced operators can be "empowered" to make optimal recipe adjustments in real-time, ensuring virtually defect-free and non-disruptive production. Our customers include world-renowned manufacturing companies in the metal industry such as Aditya Birla, Kamax, Schunk Group, and Maxion Wheels. In addition to proven results from more than 55 industrial projects in reducing scrap, increasing machine availability & productivity as well as reducing CO2 emissions, we have been recognized as the best AI company in Europe in the track "Best Smart Factory Startup in Europe" (out of 8 tracks with 495 participants) by the European Data Incubator (EDI) in 2020. Check out our website www.tvarit.com for more details on what we do.

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Candid answers by the company
What does the company do?
What is the location preference of jobs?

We are a specialized Deep Tech company based in Frankfurt, Germany, and a provider of cutting-edge TVARIT Industrial AI (TiA) Technology with a focus on the manufacturing industry, especially foundries and metalworking companies.

Company social profiles
N/A

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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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