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Trainee Data Science Social Good Jobs (NOW HIRING)

Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience. 4+ years of experience in ...

We advise our trainees not to wait till the next class to seek answers to any technical issue ... Good online training virtual class room environment. Highly qualified and experienced trainers.

We advise our trainees not to wait till the next class to seek answers to any technical issue ... Good online training virtual class room environment. Highly qualified and experienced trainers.

We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... choice. • Good online training virtual class room environment. • Highly qualified and ...

We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... choice. • Good online training virtual class room environment. • Highly qualified and ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Very good knowledge of the foundations of machine learning and statistics * Experience in building ... Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to ...

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Interns participate in team meetings, social events, and all company perks - you'll be treated as ...

QA Engineer

Austin, TX · On-site

$72K - $85K/yr

As the second-largest and fastest-growing social good software company in the world, Bonterra ... A Bachelor's degree in Computer Science or a related field is preferred, along with a minimum of 3 ...

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Interns participate in team meetings, social events, and all company perks - you'll be treated as ...

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Trainee Data Science Social Good information

What are the most commonly searched types of Data Science Social Good jobs? The most popular types of Data Science Social Good jobs are:

Full-time

Re-posted 16 hours ago


Job description

Job Description: Data Analyst
Location : Remote

Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure a high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people's issues, and are strong advocates for users globally. If you like helping people, Product Operations is for you.
The Product Operations team ensures that the suite of apps are as reliable as possible by working closely with Global Operations, Data Science, Engineering, Product and several other teams.
We are looking for a data analyst who shares our passion for helping make apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization.
Responsibilities
Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks
Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding
Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions
Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis
Minimum Qualifications:
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.
4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
Proficiency with intermediate to advanced SQL concepts for data extraction.
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience creating dashboards with Tableau, PowerBi, Alteryx and other data visualization tools.
Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
Experience with communicating and presenting findings to non-technical stakeholders.
Preferred Qualifications:
Advanced technical degree or graduate degree in statistics, marketing, or related fields.
Experience measuring the performance of AI models
Experience with ETL pipeline development.