Senior Data Scientist
Company: The Voleon Group
Location: Berkeley
Posted on: October 26, 2024
Job Description:
Voleon is a technology company that applies state-of-the-art
machine-learning techniques to real-world problems in finance. We
have led our industry for over a decade and worked at the frontier
of applying machine learning to investment management. We have
become a multibillion-dollar asset manager, and we have ambitious
goals for the future.Your colleagues will include internationally
recognized experts in machine learning research as well as highly
experienced technology and finance professionals. The people who
shape our company come from other backgrounds, including concert
music performance, humanitarian aid, opera singing, sports writing,
and BMX racing. You will be part of a team that loves to succeed
together.In addition to our enriching and collegial working
environment, we offer highly competitive compensation and benefits
packages, technology talks by our experts, a beautiful modern
office, daily catered lunches, and more.Over the last few years,
the Voleon Group has formed a new team to help advance our
data-driven investment initiatives. As a Senior Data Scientist, you
will be responsible for harvesting insights from a complex array of
data and mentoring the efforts of more junior Data Scientists doing
the same. Your role will involve designing systems and directing
technical efforts in data curation, analysis, interpretation, and
visualization, as well as communicating your findings to members of
the research staff and executive leadership. This role is a means
to make a difference: as a machine learning company, data insights
are essential to our business.Founded in 2007 by two leading
scientists (seeVoleon supports a culture of curiosity and
creativity. We do not silo our teams, and you will enjoy a healthy
work-life balance while tackling complex problems in a collegial
environment. This role makes a difference: as a machine learning
company, data insights are essential to our
business.Responsibilities
- Work closely with Technical Product Owners to prioritize
high-level needs around analytics and insight extraction,
proceeding autonomously with implementation details
- Proactively identify abnormalproductionbehavior, investigate
and rationalize this behavior, and/or guiding other Data Scientists
to do so
- Communicate results of investigations clearly to relevant
stakeholders, with actionable insights clearly highlighted and
prioritized
- Design analysis pipelines that automate those analyses found to
be valuable for ongoing monitoring, overseeing their
implementation, and successful deployment
- Guide and manage the technical efforts of other Data
Scientists
- Cultivate in yourself and other Data Scientists some expertise
in financial and statistical analysis to gain actionable insights
into our production trading and research systemsRequirements
- 2+ years of applied end-to-end industry experience, including
internships working with complex datasets, including curation,
querying, aggregation, exploratory data analysis, and
visualization
- Experience using statistical methodsto analyze data,identify
patterns, conduct root cause analysis, discover insights, and
recommend solutions
- Ability to frame and answer questions quantitatively
- Ability to infer useful forward-looking directions from results
of retrospective analysis
- Fluency in managing, processing, and visualizing tabular
datausing a combination of SQL, Pandas, and R
- Basic software development tooling skills, including bash,
Unix, and git
- Ability to refine requirements from ambiguous requests
toproduce reports demonstrating excellence in communication
- Bachelor's degree in a quantitative discipline (statistics,
biostatistics, data science, computer science, or a related
field)Preferred
- Master's degree or Ph.D. in a quantitative discipline
- Experience leading the efforts of a team of technical
contributors
- Prior industry experience or displayed interest in finance,
such as related academic projects, coursework in financial
engineering, or industry internships
- Experience developing in a production-facing environment and
familiarity with standard concepts and tooling, e.g., CI/CD, git,
AirflowCompensationThe base salary range for this position is
$190,000 to $230,000 in the location(s) of this posting. Individual
salaries are determined through a variety of factors, including,
but not limited to, education, experience, knowledge, skills, and
geography. Base salary does not include other forms of total
compensation, such as bonus compensation and other benefits. Our
benefits package includes medical, dental, and vision coverage,
life and AD&D insurance, 20 days of paid time off, nine sick
days, and a 401(k) plan with a company match."Friends of Voleon"
Candidate Referral ProgramIf you have a great candidate in mind for
this role and would like to have the potential to earn $15,000 if
your referred candidate is successfully hired and employed by The
Voleon Group, please use thisto submit your referral. For more
details regarding eligibility, terms, and conditions, please review
theEqual Opportunity EmployerThe Voleon Group is an Equal
Opportunity employer. Applicants are considered without regard to
race, color, religion, creed, national origin, age, sex, gender,
marital status, sexual orientation and identity, genetic
information, veteran status, citizenship, or any other factors
prohibited by local, state, or federal law.Vaccination
RequirementThe Voleon Group has implemented a policy requiring all
employees who will be entering our worksite, including new hires,
to be fully vaccinated with the COVID-19 vaccine. This policy also
applies to remote employees, who will be asked to visit our offices
from time to time. To the extent permitted by applicable law, proof
of vaccination will be required as a condition of employment. This
policy is part of Voleon's ongoing efforts to ensure our employees'
and community's safety and well-being, and to support public health
efforts.
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Keywords: The Voleon Group, Dublin , Senior Data Scientist, Accounting, Auditing , Berkeley, California
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