Emsi Burning Glass is hiring a

Data Scientist

Chennai, India
Full-Time
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. 

Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
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