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16 Burning Glass Technologies Jobs
Data Scientist
Burning Glass Technologies
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
The Data Scientist will work with the Product and Data teams to clean, organize, and analyze large volumes of data and produce innovative models, datasets, and visualizations that address our clients most pressing problems about the future of work. The successful candidate will have keen statistical thinking ability, be proficient in data visualization, large data set processing, and solid programming capabilities in Python, SQL, statistical or machine learning methods. The Data Scientist will contribute to projects under the guidance of more senior data scientists and make business/technology trade-off recommendations when appropriate. The Data Scientist will keep abreast of advancements in the field and deliver state-of-the-art solutions.
Major Responsibilities:
- Use SQL, Python, or other related analytical tools and programming languages to query, organize, clean, and analyze large datasets.
- Build pragmatic, scalable, and rigorous solutions to large-scale labor market data problems by leveraging or developing state-of-the-art statistical and machine learning methodologies on top of Lightcast s data infrastructure.
- Work cross-functionally to define problem statements, collect data, build models, and make recommendations to stakeholders and technical leaders.
- Contribute to projects under the guidance of more senior data scientists. Make business/technology trade-off recommendations when appropriate.
- Keep abreast of advancements in the field and deliver state-of-the-art solutions.
- Communicate key insights and recommendations to internal and external stakeholders across the organization.
Skills:
- Algorithms
- Applied Mathematics
- Computer Science
- Python (Programming Language)
- Machine Learning
- Natural Language Processing (NLP)
- SciPy
- SQL (Programming Language)
- Statistics
- Data Science
Abilities:
- Keen statistical thinking ability and excels at turning data into information
- Likes to showcase strong technical acumen yet also flexible to adapt new ways of doing things.
- Excellent interpersonal, written and verbal communication skills, with particular ability to convey technical information to a variety of technical and non-technical audiences
- Thrives in a positive team culture by participating in team-building activities and being a supportive and empathetic colleague
- Data visualization
- Large Data Set Processing
- Solid Programming capabilities in Python, SQL
- Statistical or Machine Learning Methods
- Proficient understanding of business technology tools incl Google Suite, Microsoft Office Suite, project management, timekeeping, travel, expense reporting other tools as needed.
Education and Experience:
- 2 years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.
- Bachelor's or Master s degree in Data Science, or a field with a strong quantitative and analytic focus such as Computer Science, Engineering, Mathematics, Statistics, Economics, Operations Research, or other related field.
Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Employment Type: Full Time, Permanent
Read full job description What people at Burning Glass Technologies are saying
Data Scientist salary at Burning Glass Technologies
reported by
1
employee
with 1
years exp.
₹11.7
L/yr - ₹15
L/yr
10%
less
than the average Data Scientist Salary in India
View more details
What Burning Glass Technologies employees are saying about work life
based on 22 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Burning Glass Technologies Benefits
Work From Home 
Team Outings 
Job Training 
Education Assistance 
Soft Skill Training 
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