data analytics chief scientist

Confidential Semi-Government

<div>
 
 We are seeking a Data Scientist | Machine Learning &amp; Threat Detection to build machine learning models that enhance our threat detection capabilities.
 
 
 
 Role Overview:
 
 Advanced analytics role leveraging big data to identify anomalous behaviors and predict emerging threats.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop machine learning models for anomaly detection.
 </li>
 <li>
 Process and analyze massive datasets from SIEM and threat intelligence feeds.
 </li>
 <li>
 Collaborate with security analysts to automate complex threat hunting tasks.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Mathematics, or Computer Science.
 </li>
 <li>
 5+ years in data science within a cybersecurity context.
 </li>
 <li>
 Certified Analytics Professional certification.
 </li>
 </ul>
 
 
</div>

Data Scientist | Machine Learning & Threat Detection

Evotec

<div>Job Title: Senior Associate Scientist, High Throughput Analytics
Location: Redmond, WA
Reports to: Senior Scientist I
About Us:
At Just-Evotec, we believe that curiosity is the spark that drives innovation and success. As a forward-thinking team, we thrive on challenging the status quo, learning from each other, and pushing the boundaries of what&rsquo;s possible. We're on a mission to create a place where curiosity isn't just encouraged&mdash;it&rsquo;s celebrated.
Are you someone who asks questions, seeks answers, and isn't afraid to go deeper? #BeCureious with us and see where your curiosity can take you!
The Role:
We&rsquo;re looking for a passionate and curious Senior Associate Scientist to join our team. If you&rsquo;re excited by new challenges, solving complex problems, and learning every step of the way, you might just be the perfect fit. In this role, you&rsquo;ll have the opportunity to drive impactful projects, collaborate with bright minds, and explore uncharted territories.
As a Senior Associate Scientist at Just-Evotec, you'll have the freedom to ask the hard questions, think outside the box, and find creative solutions that push us forward. It&rsquo;s a role where your curiosity will fuel both your personal growth and the success of the team.
What You&rsquo;ll Do:<ul><li>
Develop and execute H/UPLC and capillary based separations methods for support of process development, cell line development, and release testing of biotherapeutics</li><li>
Utilize chromatography data systems and informatics platforms to analyze and distribute analytical results.</li><li>
Work with team members on technology development to improve efficiency, speed, and capacity of analytical testing and analytical methods.</li><li>
Collaborate with cross-functional teams to explore new possibilities and solutions.</li><li>
Bring fresh perspectives to the analytical team that challenge the status quo.</li><li>
Regularly share your findings, ideas, and solutions in both team settings and presentations.</li><li>
Keep up with the latest trends and developments in characterization and analysis of large molecules with H/UPLC and capillary based analytical methods and use your knowledge to inspire and lead.</li><li>
Ensure that curiosity-driven questions and exploration lead to measurable, impactful results.</li></ul>
Who You Are:<ul><li>
BS in Biochemistry, Biology, Bioengineering or related field with 2+ years relevant experience or master&rsquo;s with minimal relevant experience.</li><li>
A curious problem-solver with a passion for learning and growing in a dynamic environment.</li><li>
Experience in chromatography and/or analytical chemistry</li><li>
Excellent experimental design, method development, and analysis skills</li><li>
Experience with Microsoft Office apps (Word, PowerPoint, Excel)
</li><li>Experience with HPLC and/or UPLC chromatography systems</li><li>
Experience with a chromatography data system</li><li>
Familiarity with capillary electrophoresis and experience with troubleshooting complex instrumentation is preferred.</li><li>
Desire to work in a fast, collaborative, team-oriented environment.</li><li>
A natural collaborator who loves sharing ideas and learning from others.</li><li>
Comfortable with ambiguity and thrives in environments where curiosity and experimentation are encouraged.</li><li>
Excellent communicator, both verbally and in writing, able to share complex ideas in a simple, relatable way.</li></ul>
Why Join Us:<ul><li>
Growth Opportunities: We&rsquo;re a company that believes in continuous learning and development. Whether it&rsquo;s professional courses, mentorship, or new projects, we&rsquo;ll help you grow.</li><li>
Inclusive Culture: We&rsquo;re committed to building a diverse and inclusive environment where everyone&rsquo;s voice is valued, and curiosity is encouraged.</li><li>
Innovative Projects: You&rsquo;ll have the chance to work on groundbreaking initiatives and cutting-edge technology in an atmosphere where your curiosity is the key to success.</li><li>
A Place for Big Ideas: We don&rsquo;t just talk about thinking outside the box&mdash;we throw the box away. If you&rsquo;ve got ideas, we want to hear them.</li></ul>
Are You Still Curious?
If you&rsquo;ve read this far, then chances are you&rsquo;ve got a curious mind, just like us. So, what are you waiting for? Take the leap and apply today. We can&rsquo;t wait to see where your curiosity leads you and how it will shape the future of Just-Evotec.
Let your curiosity guide your career #BeCurious and explore the endless possibilities at Just-Evotec!
The base pay range for this salaried non-exempt position at commencement of employment is expected to be $83,000 to $86,000; Base salary offered may vary depending on individual&rsquo;s skills, experience and competitive market value. Additional total rewards include discretionary annual bonus, comprehensive benefits to include Medical, Dental and Vision, short-term and long-term disability, company paid basic life insurance, 401k company match, flexible work, generous paid time off and paid holiday, wellness and transportation benefits.
Evotec (US) Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, gender, age, disability, genetic information, gender expression, gender identity, national origin, religion, sexual orientation, or veteran status.</div>

Senior Associate Scientist, High Throughput Analytics

SIGMA DEFENSE

<div>Sigma Defense is seeking a Data Scientist to join our team in San Diego NB, CA.
Equal Opportunity Employer/Veterans/Disabled: Sigma Defense Systems is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. 
Requirements 
<ul><li>
5+ years of experience developing, analyzing, or deploying data-driven solutions.</li><li>
Experience with data analysis, visualization, or decision support tools.</li><li>
Experience with Python or similar programming languages.</li><li>
Experience using version control systems (e.g., Git).</li><li>
5+ years of experience with machine learning or AI enabled systems.</li><li>
Must be a U.S. citizen.</li></ul>
Candidate Differentiators:<ul><li>
NWIC PAC Experience.</li><li>
Experience in Airborne Networking Domain.</li></ul>
Computer Programs/Software:<ul><li>
Experience with natural language processing or large language models.</li><li>
Experience deploying applications in operational environments (afloat/ashore).</li><li>
Experience with containerized environments (e.g., Docker, Kubernetes, OpenShift).</li><li>
Experience supporting cybersecurity considerations in software development.</li><li>
Experience working with DOW or NAVAIR program office.</li></ul>
Personnel Clearance Level:<ul><li>
Candidate must possess or have the ability to obtain an active Top Secret security clearance or higher.</li><li>
Clearance may be sponsored for the right candidate.</li></ul>
Education Requirements:<ul><li>
Master's degree from an accredited college or university in Data Science, Analytics, Computer Science, or related field of study.</li></ul>
Essential Job Duties (not all-inclusive):<ul><li>
Collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure.
</li><li>Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means.
</li><li>Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
</li><li>Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets.
</li><li>Conducts statistical modeling and experiment design, and tests and validates predictive models.
</li><li>Builds web prototypes and performs data visualization.
</li><li>Conducts scalable data research on and off the cloud. Develops customized algorithms to solve analytical problems with incomplete data sets, and implements automated processes for efficiently producing scale models.
</li><li>Collaborates with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
</li><li>Implement new or enhanced software designed to access and handle data more efficiently.
</li><li>Trains the data management team on new or updated procedures.
</li><li>Writes and implements quality procedures.</li></ul>
Salary Range: $130,000 - $150,000 annually. 
Benefits 
<ul>
<li>Dental and Vision Insurance</li>
<li>Medical Insurance to Include HSA, FSA, and DFSA Plans</li>
<li>Life and AD&amp;D coverage</li>
<li>Employee Assistance Program (EAP)</li>
<li>401(k) Plan with Company Matching Contributions</li>
<li>160 Hours of Paid Time Off (PTO)
</li><li>12 (Floating) Holidays</li>
<li>Educational Assistance</li>
<li>Highly Competitive Salary</li></ul></div>

1698 - Data Scientist

Altraq Computer Tech

Head of Data ScienceLocation: Salalah, Oman Company: Altraq Computer Tech Position Type: Full-timeAbout Altraq Computer TechAltraq Computer Tech is a technology-driven enterprise based in Salalah, dedicated to advancing digital innovation and data-driven solutions. We are seeking a visionary Head of Data Science to lead our analytics and AI initiatives, ensuring that data insights drive strategic decision-making and innovation across the organization.Role OverviewThe Head of Data Science will be responsible for building and leading a high-performing data science team, developing advanced models, and aligning data strategies with business objectives. This role requires strong technical expertise, leadership, and the ability to transform data into actionable intelligence.Key Responsibilities<ul><li>Data strategy: Define and execute the company&rsquo;s data science roadmap.</li><li>Advanced analytics: Develop predictive and prescriptive models to support business growth.</li><li>Machine learning: Architect and deploy scalable ML solutions.</li><li>Data governance: Ensure data quality, compliance, and ethical use of AI.</li><li>Innovation leadership: Evaluate emerging technologies and drive adoption of cutting-edge tools.</li><li>Collaboration: Partner with stakeholders across IT, product, and business units.</li><li>Team leadership: Build, mentor, and lead a world-class data science team.</li></ul>Qualifications<ul><li>Proven experience as a Head of Data Science or senior data leadership role.</li><li>Strong expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Hands-on experience with cloud data platforms (AWS, Azure, Google Cloud).</li><li>Deep knowledge of data engineering, MLOps, and AI ethics.</li><li>Excellent leadership, communication, and strategic thinking skills.</li><li>Advanced degree (MSc/PhD) in Computer Science, Data Science, or related field preferred.</li><li>Relevant certifications in AI/ML or cloud platforms are highly desirable.</li></ul>Why Join Altraq Computer Tech?<ul><li>Lead transformative data science initiatives in Salalah.</li><li>Work in a collaborative, innovation-driven environment.</li><li>Competitive compensation and benefits.</li><li>Career growth with exposure to cutting-edge data science technologies.</li></ul>Pay: RO2,800.000 - RO4,000.000 per monthWork Location: In person

Head of Data Science

Wells Fargo

<div><h2 class="jobSectionHeader">About this role:
</h2><h2 class="jobSectionHeader">Wells Fargo is seeking a talented Lead Data Science Consultant to join our growing Marketing Analytics team as part of Consumer Banking and Lending (CBL).</h2><h2 class="jobSectionHeader">
In this role you will partner with stakeholders and play a pivotal role for various marketing campaigns aimed at assessing key marketing levers for future optimization and developing solid actionable inflight reporting for continuous refinement of our marketing campaigns. Additionally, you will be responsible for implementing marketing strategies that drive growth and engagement, while continuously improving campaign performance and efficiency.</h2><h2 class="jobSectionHeader">
In this role, you will:</h2><ul><li><h2 class="jobSectionHeader">
Measure and quantify the success of CSBB Marketing campaigns while inflight and via post campaign deep dives</h2></li><li><h2 class="jobSectionHeader">
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels</h2></li><li><h2 class="jobSectionHeader">
Lead complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact</h2></li><li><h2 class="jobSectionHeader">
Review and analyze complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations</h2></li><li><h2 class="jobSectionHeader">
Independently analyze and resolve complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities</h2></li><li><h2 class="jobSectionHeader">
Execute analytical experiments and create innovative statistical technics to discover solutions for abstract business problems across various domains</h2></li><li><h2 class="jobSectionHeader">
Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements</h2></li><li><h2 class="jobSectionHeader">
Interpret and analyze data, using advanced analytics methods and programming, to recommend ways to solve problems and influence business decisions and strategies</h2></li><li><h2 class="jobSectionHeader">
Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff</h2></li></ul><h2 class="jobSectionHeader">
Required Qualifications:</h2><ul><li><h2 class="jobSectionHeader">
5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</h2></li><li><h2 class="jobSectionHeader">
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</h2></li></ul><h2 class="jobSectionHeader">
Desired Qualifications:</h2><ul><li><h2 class="jobSectionHeader">
2+ years of previous marketing campaign analytics experience</h2></li><li><h2 class="jobSectionHeader">
Strong analytical skills, with experience using data and insights to inform marketing decisions</h2></li><li><h2 class="jobSectionHeader">
Proficiency in SQL, Python / R, and other programming languages</h2></li><li><h2 class="jobSectionHeader">
Proficiency in Data visualization preferably with Tableau</h2></li><li><h2 class="jobSectionHeader">
Experience with large production data sets</h2></li><li><h2 class="jobSectionHeader">
Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines</h2></li><li><h2 class="jobSectionHeader">
Expertise in statistical testing</h2></li><li><h2 class="jobSectionHeader">
Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams</h2></li><li><h2 class="jobSectionHeader">
Experience with technical systems and business processes extracting data driven insights while identifying opportunities for engineering enhancements</h2></li><li><h2 class="jobSectionHeader">
Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources</h2></li></ul><h2 class="jobSectionHeader">
Job Expectations:</h2><ul><li><h2 class="jobSectionHeader">
Hybrid work schedule. Must be able to work from one of the approved jobs posting locations three (3) days in office &amp; two (2) days remote.</h2></li><li><h2 class="jobSectionHeader">
This position is not eligible for Visa sponsorship.</h2></li><li><h2 class="jobSectionHeader">
Relocation assistance is not available for this position.</h2></li></ul>
Posting End Date:
16 Jun 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Campaign Analytics & Data Science Consultant

Fustis LLC

<div>Job Title:
Data Scientist
Location:
100% Remote
Duration:
12 Months
Work Authorisation:
USC Only
Pay Rate:
$65/hr. on W2
Mode of Interview:
Video 
Remote with Forged Fiber 37
Position Overview: 
 
Forged Fiber 37 is a rapidly growing fiber infrastructure company focused on delivering high-quality broadband and network solutions. As we continue to scale, we are investing heavily in data, analytics, artificial intelligence, and automation to drive smarter business decisions, improve operational efficiency, and accelerate growth. 
We are seeking a Data Scientist who is excited to help build the next generation of data and AI capabilities within our organization. Telecommunications or fiber experience is not required. We value curiosity, adaptability, and individuals who are eager to learn our business while bringing fresh ideas and innovative approaches. 

 
Position Summary: 
The Data Scientist will play a critical role in developing analytics, machine learning models, AI-driven solutions, and business intelligence tools that support operations across the organization. This individual will work closely with leadership, operations, engineering, construction, finance, and technology teams to uncover insights, automate processes, and develop intelligent solutions that create measurable business value. 
The ideal candidate thrives in a fast-paced, entrepreneurial environment and enjoys taking ownership of projects from concept through deployment. 

 
Key Responsibilities: 
Develop and deploy machine learning and AI solutions to improve business performance and operational efficiency. 
Analyze large datasets to identify trends, patterns, risks, and opportunities. 
Design and maintain executive dashboards and reporting solutions using Looker. 
Write and optimize complex SQL queries to support analytics and business intelligence initiatives. 
Build scalable data solutions within Google Cloud Platform (GCP). 
Develop, fine-tune, and evaluate Large Language Models (LLMs) and generative AI applications. 
Design and implement Agentic AI solutions to automate workflows and business processes. 
Partner with stakeholders to translate business challenges into data-driven solutions. 
Support forecasting, resource planning, operational analytics, and performance reporting initiatives. 
Collaborate with engineering and technical teams to productionize AI and ML models. 
Present insights and recommendations to technical and non-technical audiences. 
Stay current on emerging technologies, AI advancements, and industry best practices. 

 
Required Qualifications: 
Bachelor//'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 
4+ years of professional experience in Data Science, Analytics, Machine Learning, or a related role. 
Advanced SQL expertise with experience querying and optimizing large datasets. 
Strong experience developing dashboards and reports using Looker BI. 
Hands-on experience with Google Cloud Platform (GCP). 
Experience working with Large Language Models (LLMs), prompt engineering, or model fine-tuning. 
Practical experience developing and deploying AI/ML solutions. 
Experience building AI agents, autonomous workflows, or Agentic AI applications. 
Strong Python programming skills. 
Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar. 
Excellent analytical, problem-solving, and communication skills. 
 
Preferred Qualifications: 
Experience with BigQuery and cloud-based data warehouses. 
Experience with Retrieval-Augmented Generation (RAG) architectures. 
Knowledge of vector databases and semantic search technologies. 
Experience with MLOps, CI/CD, and model deployment pipelines. 
Startup or high-growth company experience. 
Familiarity with construction, infrastructure, utilities, broadband, or telecommunications industries. 
What Success Looks Like 
Building scalable reporting and analytics solutions that improve decision-making. 
Developing AI-powered tools that automate manual processes and increase efficiency. 
Creating predictive models that help leadership make better operational and financial decisions. 
Bringing innovative ideas and emerging technologies to the business. 
Helping establish a modern data and AI practice that supports Forged Fiber 37//'s continued growth.</div>

Data Scientist

The Home Depot

<div>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:<ul><li>
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</li><li>
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</li><li>
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</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience running queries against data (preferably with Google BigQuery or SQL)</li><li>
Experience in predictive modeling, data mining and data analysis</li><li>
Experience with data visualization software (preferably Tableau)</li><li>
Experience utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Basic knowledge or exposure to predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
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.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
0</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Associate Data Scientist

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