Immediate Hiring: Associate Data Scientist - Pro Intelligence
Contribute to a meaningful mission at workwarp. We need a Associate Data Scientist - Pro Intelligence! We have an opening at our office in Remote. This position requires a strong and diverse skillset in relevant areas to drive success. An attractive remuneration of a competitive salary is on offer for the successful candidate. Â Â Position Purpose:
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.
Key Responsibilities:
 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings
Direct Manager/Direct Reports:
 This position reports to manager or above
 This position has 0 direct reports
Travel Requirements:
 No travel required.
Physical Requirements:
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
 Must be eighteen years of age or older.
 Must be legally permitted to work in the United States.
Preferred Qualifications:
 Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
 3+ years of experience in business intelligence and analytics
 Working knowledge of Microsoft Excel and Power Point
 Experience in a modern scripting language (preferably Python)
 Experience running queries against data (preferably with Google BigQuery or SQL)
 Experience in predictive modeling, data mining and data analysis
 Experience with data visualization software (preferably Tableau)
 Experience utilizing statistical techniques to identify key insights that help solve business problems
 Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
 Basic knowledge or exposure to predictive modeling, data mining and data analysis
Minimum Education:
 The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
 No additional education
Minimum Years of Work Experience:
 0
Preferred Years of Work Experience:
 No additional years of experience
Minimum Leadership Experience:
 None
Preferred Leadership Experience:
 None
Certifications:
 None
Competencies:
 Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
 Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
 Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
 Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
 Customer Focus: Building strong customer relationships and delivering customer-centric solutions
 Drives Results: Consistently achieving results, even under tough circumstances
 Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
 Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
 Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
 Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels Apply Job! Are You the One We're Looking For?If you believe you have what it takes, submit your application without delay. We are keen to hear from talented candidates like you.
Apply Now
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.
Key Responsibilities:
 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings
Direct Manager/Direct Reports:
 This position reports to manager or above
 This position has 0 direct reports
Travel Requirements:
 No travel required.
Physical Requirements:
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
 Must be eighteen years of age or older.
 Must be legally permitted to work in the United States.
Preferred Qualifications:
 Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
 3+ years of experience in business intelligence and analytics
 Working knowledge of Microsoft Excel and Power Point
 Experience in a modern scripting language (preferably Python)
 Experience running queries against data (preferably with Google BigQuery or SQL)
 Experience in predictive modeling, data mining and data analysis
 Experience with data visualization software (preferably Tableau)
 Experience utilizing statistical techniques to identify key insights that help solve business problems
 Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
 Basic knowledge or exposure to predictive modeling, data mining and data analysis
Minimum Education:
 The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
 No additional education
Minimum Years of Work Experience:
 0
Preferred Years of Work Experience:
 No additional years of experience
Minimum Leadership Experience:
 None
Preferred Leadership Experience:
 None
Certifications:
 None
Competencies:
 Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
 Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
 Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
 Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
 Customer Focus: Building strong customer relationships and delivering customer-centric solutions
 Drives Results: Consistently achieving results, even under tough circumstances
 Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
 Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
 Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
 Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels Apply Job! Are You the One We're Looking For?If you believe you have what it takes, submit your application without delay. We are keen to hear from talented candidates like you.
Apply Now