Lead Data Scientist
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Job
Purpose
A hands-on data scientist who is passionate about data and wants
to apply machine learning techniques to solve real-world problems
which will make a lasting impact on society. You will work closely
with the wider team to ensure high-quality algorithms are
delivered in line with the project goals and delivery cycles. You will
work on all aspects of the design development and delivery of
machine learning enables solutions including data acquisition from
diverse sources, data exploration, feature engineering, evaluating
algorithms and deploying the models iteratively to improve the
final solution.
Lead Data Scientist responsibilities include managing the data
analytics team, planning projects and building analytics models.
You should have a strong problem-solving ability and a knack for
statistical analysis. If you’re also able to align our data products
with our business goals, please contact us.
to apply machine learning techniques to solve real-world problems
which will make a lasting impact on society. You will work closely
with the wider team to ensure high-quality algorithms are
delivered in line with the project goals and delivery cycles. You will
work on all aspects of the design development and delivery of
machine learning enables solutions including data acquisition from
diverse sources, data exploration, feature engineering, evaluating
algorithms and deploying the models iteratively to improve the
final solution.
Lead Data Scientist responsibilities include managing the data
analytics team, planning projects and building analytics models.
You should have a strong problem-solving ability and a knack for
statistical analysis. If you’re also able to align our data products
with our business goals, please contact us.
Key Responsibilities:
Job Specific
Responsibilities :
Responsibilities :
Design and Develop Machine Learning solutions
▪ Ensure data quality and integrity.
▪ Test performance of data-driven products.
▪ Experiment with new models and techniques.
▪ Identify valuable data sources and automate collection
processes.
▪ Undertake to preprocess of structured and
unstructured data.
▪ Experience using statistical computer languages (R,
Python, SQL, etc.) to manipulate data and draw
insights from large data sets.
▪ Build predictive models and machine-learning
algorithms.
Interpret and present the results
▪ Interpret and present the insights using data
visualization techniques.
DocuSign Envelope ID: 4507CFD8-CDCA-4DC7-A8B1-00AFB5DAAF80
Job Title: Lead Data Scientist
Version: 2
Last Revised: June 2021
Adapted from: (NLP Data Scientist/Lead)
▪ Create data-driven reports based on the identified
insights.
▪ Present information using data visualization
techniques.
Leadership and collaboration
▪ Manage a team of data scientists and data analysts.
▪ Conceive, plan and prioritize data science projects.
▪ Align data projects with organizational goals.
▪ Collaborate with Research and product development
teams.
▪ Strong problem-solving skills with an emphasis on
product development.
▪ Proactively advice on best practices.
▪ Provide mentorship and help team growth, especially
on the technical side.
▪ Knowledge and experience in statistical and data
mining techniques;
Education, Experience and Required Skills
Educational
Qualification
MSc (or Ph.D. degree) in a quantitative field such as
Computer Science, Operations Research, Applied
Mathematics, Industrial / Systems Engineering, Applied
Statistics, etc.
Essential
Skills
Technical Skills
▪ Experienced technology leader with 5+ years working
with data-driven projects including 3+ years of data
science experience.
▪ Strong at technical goal setting for a project with
actionable success metrics. Good knowledge and
experience in measuring service from user experience
angle.
▪ A knack for statistical analysis and predictive modeling.
▪ Experience with extracting and aggregating data from
large data sets using SQL, or other tools.
▪ Good knowledge of Python and SQL.
▪ Technical background in data with a deep understanding
of issues in multiple areas such as data acquisition and
processing, data management, distributed processing,
and high availability is required.
▪ Experience with data visualization tools, such as Tableau,
or Power BI.
DocuSign Envelope ID: 4507CFD8-CDCA-4DC7-A8B1-00AFB5DAAF80
Job Title: Lead Data Scientist
Version: 2
Last Revised: June 2021
Adapted from: (NLP Data Scientist/Lead)
▪ Experience in applied research highly preferred, ideally in
the field of educational technology.
▪ Basic knowledge of psychometrics, Learning Analytics
(LA) and measurement theory.
Operational Skills Required
▪ Strong organizational and leadership skills
▪ Outstanding verbal, written, presentation, facilitation,
and interaction skills, including the ability to effectively
communicate architectural issues and concepts to
multiple organization levels and executive management.
▪ A business mindset with a good understanding of
education system.
▪ Attention to detail, and ability to work in a high-pressure
environment
▪ Team leader with a problem-solving attitude.
▪ Natural curiosity to learn technologies, business models
and industry trends;
▪ Ensure data quality and integrity.
▪ Test performance of data-driven products.
▪ Experiment with new models and techniques.
▪ Identify valuable data sources and automate collection
processes.
▪ Undertake to preprocess of structured and
unstructured data.
▪ Experience using statistical computer languages (R,
Python, SQL, etc.) to manipulate data and draw
insights from large data sets.
▪ Build predictive models and machine-learning
algorithms.
Interpret and present the results
▪ Interpret and present the insights using data
visualization techniques.
DocuSign Envelope ID: 4507CFD8-CDCA-4DC7-A8B1-00AFB5DAAF80
Job Title: Lead Data Scientist
Version: 2
Last Revised: June 2021
Adapted from: (NLP Data Scientist/Lead)
▪ Create data-driven reports based on the identified
insights.
▪ Present information using data visualization
techniques.
Leadership and collaboration
▪ Manage a team of data scientists and data analysts.
▪ Conceive, plan and prioritize data science projects.
▪ Align data projects with organizational goals.
▪ Collaborate with Research and product development
teams.
▪ Strong problem-solving skills with an emphasis on
product development.
▪ Proactively advice on best practices.
▪ Provide mentorship and help team growth, especially
on the technical side.
▪ Knowledge and experience in statistical and data
mining techniques;
Education, Experience and Required Skills
Educational
Qualification
MSc (or Ph.D. degree) in a quantitative field such as
Computer Science, Operations Research, Applied
Mathematics, Industrial / Systems Engineering, Applied
Statistics, etc.
Essential
Skills
Technical Skills
▪ Experienced technology leader with 5+ years working
with data-driven projects including 3+ years of data
science experience.
▪ Strong at technical goal setting for a project with
actionable success metrics. Good knowledge and
experience in measuring service from user experience
angle.
▪ A knack for statistical analysis and predictive modeling.
▪ Experience with extracting and aggregating data from
large data sets using SQL, or other tools.
▪ Good knowledge of Python and SQL.
▪ Technical background in data with a deep understanding
of issues in multiple areas such as data acquisition and
processing, data management, distributed processing,
and high availability is required.
▪ Experience with data visualization tools, such as Tableau,
or Power BI.
DocuSign Envelope ID: 4507CFD8-CDCA-4DC7-A8B1-00AFB5DAAF80
Job Title: Lead Data Scientist
Version: 2
Last Revised: June 2021
Adapted from: (NLP Data Scientist/Lead)
▪ Experience in applied research highly preferred, ideally in
the field of educational technology.
▪ Basic knowledge of psychometrics, Learning Analytics
(LA) and measurement theory.
Operational Skills Required
▪ Strong organizational and leadership skills
▪ Outstanding verbal, written, presentation, facilitation,
and interaction skills, including the ability to effectively
communicate architectural issues and concepts to
multiple organization levels and executive management.
▪ A business mindset with a good understanding of
education system.
▪ Attention to detail, and ability to work in a high-pressure
environment
▪ Team leader with a problem-solving attitude.
▪ Natural curiosity to learn technologies, business models
and industry trends;