Get ai-powered advice on this job and more exclusive features.
direct message the job poster from andela.
data scientist
location requirement: latam, europe, africa
andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.
at andela, we’re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an e.p.i.c. way! We’re excited to continue building our remote-first team with incredible people like you. after applying for this role, you will join our andela community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to many exclusive technologist roles.
join andela today to access this opportunity and more in our global marketplace!
our roles are typically filled at lightning speed, so if you’re considering applying, get your 100% payment in usd.
this is a fully remote opportunity for one of our esteemed clients.
about the role
we are looking for a data scientist to join our advanced analytics team. This is an excellent opportunity to employ advanced statistical techniques in the media world such as marketing mix modeling [regression analysis], attribution, budget optimization, and digital analytics.
the ideal candidate will lead end-to-end project delivery and be responsible for leveraging software and technologies (ie: r, python, machine learning, etc.), managing junior analysts and communicating with internal stakeholders and clients.
1. data collection & cleansing: perform data processing, data cleansing and handling of raw data to produce large structured data sets for analysis, data modeling.
2. data analysis: conduct econometric and other statistical analyses. Run ad-hoc “what if scenarios” and simulations based on models and evaluate media plans.
3. model development & evaluation: assist in building and testing machine learning models to solve business problems, using tools such as python, r, or sql.
4. visualization: support reporting, data visualization and presentation building with oversight from team leader.
5. collaboration: work with internal teams across buying, planning and digital investment to produce client deliverables. Perform storytelling from data and analyses; communicate insights to internal stakeholders and clients.
6. learning & growth: support r&d initiatives by designing algorithms, developing features, qa or providing training and support to power users.
7. leadership: take full accountability of timely project delivery, producing analyses and content that is clean, organized, easy to read and understand. Convert business problems into mathematical expressions and equations. Bring critical thinking into finding issues, solving problems and improving processes.
qualifications:
1. bachelor's degree in marketing, advertising, economics, computer science, information systems, business analytics, or related field; or equivalent professional work experience.
2. proven experience (4+ years) as a data scientist or in a similar analytical role.
3. understanding of multivariate regressions.
4. advanced knowledge of sql and excel (pivot tables, complex functions, etc.).
5. experience with r, python, c++, spp or sas.
6. ability to perform analytics, with ability to clearly communicate findings both written and orally.
7. persuasive and capable of getting buy in from multiple teams (inside/outside mindshare) and clients.
8. able to deal with and prioritize multiple business requests with strong attention to detail.
9. familiarity with alteryx, tableau, domo, power bi a plus; ability to adapt to new software, technologies, and methodologies.
10. familiarity with digital marketing ecosystem a plus.
11. experience with web analytics tools (omniture, google analytics, webtrends) and ad servers tools (doubleclick, mediamind, pointroll, atlas) nice to have.
12. ability to mentor junior team members and lead data science projects.
required skills
* data science (4 - 6 yrs)
* python (4 - 6 yrs)
* sql (4 - 6 yrs)
* machine learning (4 - 6 yrs)
optional skills
* r (2 - 3 yrs)
* power bi (microsoft) (2 - 3 yrs)
* c++ (2 - 3 yrs)
* sass (2 - 3 yrs)
* alteryx (2 - 3 yrs)
must-haves:
sql, python, data science, market mix modeling, strong critical thinking.
nice to have:
media/advertising, data visualization (alteryx, tableau, domo, power bi), digital marketing, web analytics.
overlap requirement: 6+ hours overlap with est
location restrictions: latam, europe, africa
working hours: full-time dedication (8 hours/day - 40 hours/week)
offer
full-time dedication (40 hours/week)
at andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, hiv/aids or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.
andela is home for all. Come as you are.
seniority level
* mid-senior level
employment type
* contract
job function
* information technology
* industries
* technology, information and media
#j-18808-ljbffr