Camgian is hiring a Senior Data Scientist to help develop, build, and transform client data into reliable quantitative insights. In keeping with this overarching aim, the senior data scientist will understand client needs, define project requirements and strategy, breakdown work and assign tasks to junior staff, and monitor progress. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify opportunities to solve existing business problems and look around corners for future opportunities.



Build models and tools using technical knowledge in statistical modeling, probability and decision theory, machine learning, and other quantitative techniques

  1. Understand the business reality behind large sets of data and develop meaningful analytic solutions

  2. Innovate by adapting to new modeling techniques and procedures

  3. Utilize SQL and code (R, Python etc.) for analyzing data and building statistical models to solve specific client business problems

  4. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters

  5. Collaborate with business unit, software developers and IT to define product requirements and provide analytical support

  6. Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations

  7. Stay informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant




  1. Bachelor's Degree

  2. Strong background in math and statistics for building statistical models

  3. 3+ years of experience with data querying languages (SQL), scripting languages (R, Python), and statistical/mathematical software (e.g., SAS, Stata, MATLAB)

  4. Experience working with SQL, No-SQL, and Time series databases

  5. Experience with data visualization tools such as Tableau, ggplot

  6. 3-5 years’ work experience as a Data Scientist

  7. United States Citizenship



  1. Master’s degree or PhD in computer science, statistics, mathematics, or information systems

  2. Strong proficiency in SQL and R

  3. Practical understanding and hands-on experience with regression modeling (linear and logistic)

  4. Multiple years of experience working with large-scale, structured, and unstructured datasets to create/optimize predictive, forecasting, optimization, and/or machine learning models

  5. Direct experience with both supervised learning methods (linear and logistic regression, time-series modeling, generalized linear models, decision trees, random forests, support vector machines, etc.) and unsupervised learning methods (K-means, hierarchical clustering, association rules, principal components).

  6. Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to engineering teams and business audiences

  7. Proven ability to convey rigorous technical concepts and considerations to non-experts

  8. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment


Exceptional work ethic, willingness to learn, tenacity not to quit, aptitude to surpass, and strong desire to work in a fast-paced environment, with existing and new product lines, are necessary for success.  Collaboration and cross pollination with other teams will be frequent, thus communication, openness, and willingness to share both success and failure is a must.  We are a team-centric organization, there are no individuals, we win and lose together.


Camgian offers a competitive salary, fun work environment, excellent benefits, and an equity opportunity.


Camgian Culture and Core Value Traits

  1. Ability to work as part of a team while maintaining independent thinking

  2. Self-driven and self-starter in addition to excellent communication skills

  3. Great at thinking outside the box and have an aptitude for innovation and problem solving


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