Data Scientist - Hamburg, Deutschland - Avomind

Avomind
Avomind
Geprüftes Unternehmen
Hamburg, Deutschland

vor 1 Woche

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter
Beschreibung

Company Overview


The company was founded by an alumnus of BCG, is convinced of the approach to leverage traditional quantitative market research methods and top-tier strategy consulting for data-driven and customer-centric business decision-making.

While quantitative market research offers invaluable insights, its potential remains largely untapped in corporate management, presenting in our view an expansive opportunity to create a highly specialized, relevant, and differentiated consulting offering.

Established in 2019, a first landmark achievement was the creation of a quantitative research unit.

This robust research engine room, with its unmatched efficiency and professionalism, secured a market share of over 80% with a top tier consultancy in the EMESA region.

Over the past years, the following capabilities have been built:


  • Research delivery: Consistent, industryleading delivery (design, fullservice execution, interpretation of results) of quantitative surveys across any level of complexity and research methods
  • Industry ecosystem: Access to a huge and growing number of proprietary panels in global geographies, industry (e.g., B2B) or topic niches (e.g., HealthCare); established and evolving technology stack (e.g., quantilope, Sawtooth); adjacent preferred partners, supplementing the full project delivery (e.g., translation agencies)
  • Consulting workstyle: Fully focused on developing a differentiated service model, focused on top tier consultancies (e.g., BCG), over the years a highly professional and industryleading service quality has been established.


This unit constitutes is an important foundation for the above-mentioned boutique consulting offering, because this part of the value chain is partially or fully outsourced by companies such as BCG, Simon-Kucher etc.

Building on this strong foundation, the company assumes potential to grow in three primary directions, ordered by ease of execution and in consequence priority:

  • Consulting Outreach: Expand our services to cater to a broader spectrum of consulting firms.
  • Investment Sector Solutions: Tailor offerings specifically for the investment industry, including Private Equity firms and Venture Capitalists, catering to various stages of the deal cycle with their targets and portfolio companies.
  • Corporate Strategy: Drive consumercentric strategy projects with corporates, differentiating to traditional strategy consulting by rich consumer insights.

Responsibilities:


  • Conduct Conjoint Analysis using CBC and other advanced techniques.
  • Script conjoints in Sawtooth software for efficient survey implementation.
  • Develop and build fullfledged Excel Simulators for accurate data simulation.
  • Collaborate with crossfunctional teams to understand project requirements and objectives.
  • Contribute to the design and execution of customer insight projects, ensuring highquality data collection and analysis.
  • Provide expertise in data interpretation and present findings to stakeholders in a clear and actionable manner.

Qualifications:


  • Advanced expertise in Conjoint Analysis, particularly CBC
  • Familiarity with special forms such as ACBC, sparse MaxDiff, etc
  • Proficient in scripting conjoints in Sawtooth
  • Strong proficiency in developing fullfledged Excel Simulators
  • Excellent analytical and problemsolving skills
  • Strong communication and presentation skills

Requirements:


  • Minimum of 3 years of experience in Data Science with a focus on Survey Analytics
  • Bachelor's/Master's/Ph.
D. degree in Data Science, Economics, Statistics, Computer Science, or a related field

  • Demonstrated experience in managing endtoend customer insight projects
  • Ability to work independently and collaboratively in a dynamic, fastpaced environment
  • Strong attention to detail and commitment to delivering highquality results

Locations:


  • Hamburg (preferred)
  • Berlin
  • Note: The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be construed as an exhaustive list of responsibilities, duties, and skills required. _
DE-23447
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