Location
Menlo Park, CA | United States
Job description
As a Data Scientist V, you will be a senior member of our dynamic and innovative data science team, playing a pivotal role in driving data-driven decision-making processes within our organization. The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Join our team as a Data Scientist and contribute to shaping the future of our organization through cutting-edge data science and analytics.
Job Responsibilities:
- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
- Generate and test hypotheses and analyze and interpret the results of product experiments.
- Partner with Marketing, Product, Engineering, and cross-functional teams to inform, influence, support, and execute marketing and product strategy and investment decisions.
- Provide Business Intelligence (BI) and data visualization support, which includes, but is limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Top 3 must-have hard skills:
- Experienced in programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
- The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
- Experience working with large datasets.
Good to have skills:
- Business context in social marketing and other market areas.
- Background with companies like Amazon, and Google.
Skills:
- Experienced in programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
- The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
- Experience working with large datasets.
Nice to have:
- Business context in social marketing and other market areas.
- Background companies like Amazon, and Google.
Education/Experience:
- A Degree is mandatory.
- Masters in Mathematics, Statistics, a relevant technical field, or equivalent practical experience or Ph.D. Degree in a quantitative field.
Benefits:
- 401(k).
- Dental Insurance.
- Health insurance.
- Vision insurance.
- We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
- The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
Additional Responsibilities:
- Participate in OrangePeople monthly team meetings, and participate in team-building efforts.
- Contribute to OrangePeople technical discussions, peer reviews, etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
About us:
OrangePeople is an Enterprise Architecture and Project Management solutions company. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OrangePeople team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & and education. An ideal Orange Person is a technology leader with a proven track record of technical achievements and a strong process/methodology orientation.
Job tags
Salary
