We’re looking for rule benders, questioners, believers, and determined independents who think fearlessly outside of the box. If that sounds like you, get in touch with us. Explore our current openings — you just might be who we're looking for.
We have big plans to disrupt the traditional fundraising process for private businesses
You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing, monitoring, and improving products to facilitate the activity of private investing
Everything we do is focused on helping build the private capital markets for the next generation of business owners and investors
We work really hard but play really hard as well
We are looking for passionate Data Scientists with strong problem-solving skills and prior experience in building machine learning models. You should possess the ability to thrive in a fast-paced environment. As a Data Scientist, working with passionate data-driven enthusiasts, you will lead the deployment of decision sciences with advanced analytics as well as machine learning and AI capabilities to support various lines of businesses. You will also help to enable a data driven culture within the organization.
Roles and responsibilities
Work with other Data Scientists, Data Engineers, Data Analysts, Software engineers to build and manage data products
Work on cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
Develop an enterprise data science strategy to achieve scale, synergies, and sustainability of model deployment
Undertake rigorous analyses of business problems on structured and unstructured data with advanced quantitative techniques.
Apply your expertise in data science, statistical analysis, data mining and the visualisation of data to derive insights that value-add to business decision making (e.g. hypothesis testing, development of MVPs, prototyping etc).
Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization and communication deliverable.
You’ll be a great fit for us if you
Bachelor or Master’s in Computer Science, Statistics, Mathematics, Economics, or any other related fields
At least 3 to 5 years of hands-on experience in a Data Science role with exposure and proficiency in quantitative and statistical analysis, predictive analytics,multi-variate testing and algorithm-optimization for machine learning
Deep expertise in a range of ML concepts, frameworks and techniques such as logistic regression, clustering, dimensional reduction, recommendation systems,neural nets etc.
Strong understanding of data infrastructure technologies (e.g. Spark, TensorFlow etc).
Familiarity with data engineering methodologies, including SQL, ETL and experience in manipulating data sets with structured and unstructured data using Hadoop, AWS or other big data platforms.
Highly proficient in data visualization and the use of dash boarding tools (e.g.Tableau, Matplotlib, plot.ly etc).
Proven track record in delivering bespoke data science solutions in a cross-functional setting.
Experience in managing a small team is preferred.
Interested in dealing with data, including finding, and exploring more efficient ways/programs (e.g. machine learning) to collect, store, and analyse data
Preferably have some understanding of terms in financial statements and financial ratios
Strong problem-solving skills – able to find various ways to solve problems and decide which solution to move forward
Ability to work under pressure and tight timings
Team oriented, but highly independent for their own projects
High level of organisational skills and ability to prioritize
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At Fundnel, we want rule benders, questioners, believers, and determined independents who think fearlessly outside of the box; we want you. We’re always on the lookout for great people to join our team.