Data Science Jobs Opening in Blowhorn at Bangalore
Data Science
Blowhorn
Expired
Posted: 22 Jun 22
Job Description
Selected intern's day-to-day responsibilities include:
1. Identify valuable data sources and automate collection processes
2. Undertake to preprocess of structured and unstructured data
3. Analyze large amounts of information to discover trends and patterns
4. Build predictive models and machine-learning algorithms
5. Combine models through ensemble modeling
6. Present information using data visualization techniques
7. Propose solutions and strategies to business challenges
8. Collaborate with engineering and product development teams
1. Identify valuable data sources and automate collection processes
2. Undertake to preprocess of structured and unstructured data
3. Analyze large amounts of information to discover trends and patterns
4. Build predictive models and machine-learning algorithms
5. Combine models through ensemble modeling
6. Present information using data visualization techniques
7. Propose solutions and strategies to business challenges
8. Collaborate with engineering and product development teams
Skill(s) required
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 21st Jun'22 and 26th Jul'22
3. are available for duration of 3 months
4. have relevant skills and interests
Number of openings
1
Job Particulars
Education Any Graduate, Other Course
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id1510215
Job Category Tech Support
Locality Address
State Karnataka
Country India
About Company
Blowhorn is a funded startup revolutionizing last-mile logistics with disruptive technology. We are the uber for moving goods. We provide innovative logistics solutions for a wide variety of customers, ranging from large e-commerce companies to small convenience stores. We are focused on creating the best logistics system to make the first mile, last mile, and hub deliveries efficient. To achieve this we have built the best intra-city transportation network, to efficiently deliver goods, which will be augmented by class-leading technology and next-generation services to efficiently deliver goods.
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