Collierville, TN · On-site +1
Leading data science/advanced analytics initiatives such as customer data platform optimization, consumer insights modeling, market analytics, forecasting, retail network optimization, pricing ...
Collierville, TN · On-site +1
Leading data science/advanced analytics initiatives such as customer data platform optimization, consumer insights modeling, market analytics, forecasting, retail network optimization, pricing ...
$100K - $160K/yr
One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to ...
$100K - $160K/yr
One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to ...
$100K - $160K/yr
One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to ...
Quick apply
$100K - $160K/yr
One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to ...
You will partner with stakeholders across digital, marketing, content, and optimization to ensure data is reliable, insights are actionable, and measurement supports better business decisions. This ...
You will partner with stakeholders across digital, marketing, content, and optimization to ensure data is reliable, insights are actionable, and measurement supports better business decisions. This ...
You will partner with stakeholders across digital, marketing, content, and optimization to ensure data is reliable, insights are actionable, and measurement supports better business decisions. This ...
You will partner with stakeholders across digital, marketing, content, and optimization to ensure data is reliable, insights are actionable, and measurement supports better business decisions. This ...
You will partner with stakeholders across digital, marketing, content, and optimization to ensure data is reliable, insights are actionable, and measurement supports better business decisions. This ...
You will partner with stakeholders across digital, marketing, content, and optimization to ensure data is reliable, insights are actionable, and measurement supports better business decisions. This ...
Responsibilities : • Design and maintain dimensional, domain-oriented, and analytics-optimized data models in Snowflake. • Develop fact and dimension models supporting portfolio management, risk ...
Responsibilities : • Design and maintain dimensional, domain-oriented, and analytics-optimized data models in Snowflake. • Develop fact and dimension models supporting portfolio management, risk ...
Collaborate with data engineers, analysts, and cloud architects on data and cost optimization initiatives. * Troubleshoot data pipeline failures and performance issues. * Follow data governance ...
Collaborate with data engineers, analysts, and cloud architects on data and cost optimization initiatives. * Troubleshoot data pipeline failures and performance issues. * Follow data governance ...
Franklin, TN · On-site
$74K/yr
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Franklin, TN · On-site
$74K/yr
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Collaborate with data engineers, analysts, and cloud architects on data and cost optimization initiatives. * Troubleshoot data pipeline failures and performance issues. * Follow data governance ...
Collaborate with data engineers, analysts, and cloud architects on data and cost optimization initiatives. * Troubleshoot data pipeline failures and performance issues. * Follow data governance ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
Design and maintain dimensional, domain-oriented, and analytics-optimized data models in Snowflake. * Develop fact and dimension models supporting portfolio management, risk, attribution, research ...
Design and maintain dimensional, domain-oriented, and analytics-optimized data models in Snowflake. * Develop fact and dimension models supporting portfolio management, risk, attribution, research ...
Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.
A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.
To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.
Other
Posted 18 days ago
The primary focus of this position is to lead and manage a team responsible for developing and implementing data science initiatives to drive strategic business outcomes. Building and nurturing a high-performing data science team through hiring, coaching, mentoring, and talent development. Identifying and solving complex business problems using large data and advanced analytics/machine learning techniques. Leading data science/advanced analytics initiatives such as customer data platform optimization, consumer insights modeling, market analytics, forecasting, retail network optimization, pricing analytics, and revenue management modeling. Providing expert guidance to a team of data scientists in the use of machine learning, predictive modeling, quantitative analytics, and applied statistics. Developing new analytical approaches and algorithms to address challenging problems. Delivering bottom-line impact through rapid, agile modeling approaches in collaboration with diverse partners. Establishing best practices for machine learning model development, documentation, deployment, version control, automation, and scalability. Providing expert guidance and thought leadership to business partners and executive leadership on the application of data science methodologies to high-impact business problems. Perform other duties as assigned.
Requirements
Master's degree in data science, analytics, business, computer science, operations research, statistics, applied mathematics, business analytics or related quantitative disciplines plus 5 years of experience in the job offered or 5 years of experience in applying data science, operations research, or data analytics modeling to generate revenue, reduce costs, increase profitability, and improve customer experience required. The employer will alternatively accept a PhD in data science, analytics, business, computer science, operations research, statistics, applied mathematics, business analytics or related quantitative disciplines plus 2 years of experience in the job offered or 2 years of work experience in applying data science, operations research, or data analytics modeling to generate revenue, reduce costs, increase profitability, and improve customer experience required in lieu of a Master's degree plus 5 years of experience.
The position requires experience with: Extensive knowledge in advanced data science/analytics, statistical analysis, and machine learning methods. Experience conducting end-to-end analyses, including data gathering, processing, analysis, and presentation. Strong familiarity with evolving analytics concepts, techniques, and technologies. Ability to lead a technical team. Experience providing leadership in a general planning or consulting setting. Experience as a leader or senior member of multi-functional project teams. Strong human relations, organizational/time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences. Technical background in computer science, engineering, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational fields. Proven track record of data science/data engineer expertise, designing and deploying technical solutions that deliver tangible, ongoing value. Demonstrated ability to deliver projects with a team, often working under tight time constraints to deliver value. An engineering mindset, willing to make rapid, pragmatic decisions to accelerate the delivery of business insights and impact. Demonstrated expertise in working with common programming languages and tools such as Python, Scala, R, SAS, SQL, C++, Java, or other modern programming languages. Experience with diverse machine learning (ML) frameworks. Extensive experience in advanced data science and analytics techniques including Geospatial Analytics, Statistics, Predictive Modeling, and Quantitative Analytics. Strong skills in Machine Learning and ML Engineering techniques to develop and implement ML solutions to complex business problems. Proficiency in programming languages such as Python, PySpark, R, SAS, and SQL for data manipulation, analysis, and model development. Expertise in analytical tools such as SAS, ESRI ArcGIS, Azure Databricks and the Microsoft Azure tech stack. Strong understanding of the retail sector and a deep understanding of consumer behavior in transportation setting.
Position supervises 6 employees.
Position allows for telecommuting from home within commuting distance of Collierville, TN.
