data science specialist

MA'ADEN

<div><div><div><div><div><div><div><p><b>Job Title<br>
</b></p></div></div></div><div><div><div><p>Senior Specialist, Data Science and Artificial Intelligence<br>
</p></div></div></div><div><div><div><p><b>Reporting to<br>
</b></p></div></div></div><div><div><div><p>Director, Technology CoE<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Business Unit/Function<br>
</b></p></div></div></div><div><div><div><p>Sustainability, Safety &amp; Innovation<br>
</p></div></div></div><div><div><div><p><b>Department<br>
</b></p></div></div></div><div><div><div><p>Technology and Innovation<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Direct Reports<br>
</b></p></div></div></div><p></p><div><div><div><p><b>Budget/Size<br>
</b></p></div></div></div><div><div><div><p>-<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Grade<br>
</b></p></div></div></div><div><div><div><p>M10<br>
</p></div></div></div><div><div><div><p><b>Job Family<br>
</b></p></div></div></div><div><div><div><p>Technology and Innovation<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Sub Family<br>
</b></p></div></div></div><div><div><div><p>, Data Science and Artificial Intelligence<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Position Type<br>
</b></p></div></div></div><div><div><div><p>Regular<br>
</p></div></div></div><div><div><div><p><b>Role Profile Number<br>
</b></p></div></div></div></div><br>
<p></p><div><div><div><div><p><b>Job Purpose<br>
</b></p></div></div></div></div><br>
<div><div><div><div><p>Role is to support the Principal Engineer in driving the implementation of technology use cases, vendor discussions, and in-house AI-ML applications on internal use cases. You will utilize your expertise in data science and artificial intelligence to contribute to the development and deployment of innovative solutions across the organization.<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Key Accountabilities<br>
</b></p></div></div></div></div><br>
<div><div><div><div><p>Collaborate with the Principal Engineer to identify and evaluate AI-ML use cases for enhancing process efficiency and reducing reliance on conventional technologies.<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Assist in developing and implementing novel data science and AI applications, including AI-advisory modelling, ML algorithms, and AI-based ESG and safety dashboards.<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Conduct technical research to explore potential AI-ML applications and stay updated with emerging trends and advancements in the field.<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Contribute to the development of testing and validation protocols to ensure successful implementation of new technologies.<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Collaborate with the Principal Engineer to establish best practices, standards, policies, and procedures for the adoption of novel AI and data science applications.<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Stay updated with industry best practices and advancements in data science and artificial intelligence, and share knowledge with the team.<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Minimum Qualifications, Experience and Competencies<br>
</b></p></div></div></div></div><br>
<div><div><div><div><p><b>Minimum Qualifications:
</b></p></div><div><p>Bachelor's degree in computer engineering, IT Engineering, Software Engineering, or a related field<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Minimum Experience:
</b></p></div><div><p>5+ years of experience in data science and AI-ML technologies, with a focus on driving innovation and efficiency improvements in the extractive industry.<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Ma&rsquo;aden High-Performance Competencies:
</b></p></div><div><p>Teamwork
</p></div><div><p>Integrity
</p></div><div><p>Care
</p></div><div><p>Ownership
</p></div><div><p>Accountability
</p></div><div><p>Communication
</p></div><div><p>Continuous improvement
</p></div><div><p>Achievement Drive
</p></div><div><p>Decisiveness and judgement
</p></div><div><p>Impact and influence
</p></div><div><p>Commercial Acumen
</p></div><div><p>Strategic Visioning<br>
</p></div></div></div></div><br>
<div><div><div><div><p><b>Skills:
</b></p></div><div><p>Problem solving capability.
</p></div><div><p>Fast learner, adaptable to change to work in an agile environment.
</p></div><div><p>Demonstrated skills in mastering new knowledge and its applications.
</p></div><div><p>Demonstrated ability to see underlying concepts and patterns in complex situations and their application to business decisions.
</p></div><div><p>Work well in a cross-functional, strongly matrixed environment.
</p></div><div><p>Critical thinking capabilities, analytical skills, action orientation
</p></div><div><p>Excellent prioritization skills</p></div></div></div></div></div></div></div>

Senior Specialist, Electrical SAP II

Vanguard

<div>
 <strong>
  Client Experience Analytics (CxA)
 </strong>
 is looking for a talented Data Analyst, Senior Specialist to join our team! Supporting the Vanguard Workplace Solutions, CxA aims to enhance financial well-being for all retirement participants through strategic insights and data-driven recommendations, continuously improving the institutional client experience and participant outcomes.
 <br/>
 <br/>
 Aligned a key enterprise initiative, this role focuses on creating a seamless participant experience that eliminates friction, builds loyalty, and promotes positive investment behaviors; we want to bring the very best of Vanguard to retirement participants. As a senior-level individual contributor, you will connect the dots among existing workstreams and leverage advanced analytics to identify opportunities, drive strategic decision-making, and deepen our understanding of Vanguard&rsquo;s participants. Additional responsibilities include performing descriptive and predictive analyses, designing and measuring experiments with statistical rigor, and visualizing data to deliver actionable insights. You will influence business and technology leaders through consultative skills and data storytelling.
 <br/>
 <br/>
 If you are a strategic thinker with a passion for innovation and a proven track record in building analytics strategies and delivering complex initiatives in a cross-functional environment, we invite you to apply for this exciting opportunity.
 <br/>
 <br/>
 <strong>
  Role Requirements:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advance Data-driven Decision Making: Utilize advanced data and analytics methods to identify opportunities, evaluate alternatives, optimize decisions, measure impact, and share insights/recommendations for continuous improvement/transformation.
  </li>
  <li>
   Big Picture Strategic Ideation: Connect the dots across product families, teams, and divisions to design the analytical vision, generate roadmaps and prioritize initiatives.
  </li>
  <li>
   Cross-Functional Collaboration: Act as a true peer in driving strategy and roadmap, working closely with cross-functional teams to facilitate effective use of data.
  </li>
  <li>
   Stakeholder Management: Communicate with and manage senior stakeholder relationships to drive strategic direction and roadmap development.
  </li>
  <li>
   Autonomy and Proactivity: Ability to carve out your own initiatives and workplan based on department priorities, map out the course, roles and responsibilities for all supporting team members.
  </li>
  <li>
   Growth Mindset: Be responsible for your continuous learning. Stay on top of latest analytics and data science methods, use case and technologies to drive efficiency and impact using data.
  </li>
  <li>
   Executive Presence: Participate in key high-priority and strategic leadership meetings and enterprise initiative discussions to maintain a big-picture viewpoint. Articulate complex concepts to a variety of audience in a crisp and impactful fashion.
  </li>
  <li>
   Thought Leadership: Connect diverse ideas and/or bring structure to high impact problems for business/product. Translate complex problems into an analytical framework and lead intricate projects through from ideation to completion.
  </li>
  <li>
   Collaborative mindset: Delegate tasks and provide tactical and strategic guidance to peer analysts, data engineers and data scientists. Serve as the analytics expert on cross-functional teams for enterprise-wide strategic initiatives.
  </li>
  <li>
   Analytics and Data Science Expertise: Expertise to perform data analysis from multiple sources to surface trends and insights using advanced analytical methods. Drive innovative and sophisticated experimentation across multiple families to identify and implement innovative CX solutions.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Candidate Competencies:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Business-oriented Technical Expertise: Deep experience using analytics and data science methods to solve business problems.
  </li>
  <li>
   Comfort with Ambiguity: Ability to create clarity by partnering with different functions in ambiguous and challenging situations.
  </li>
  <li>
   Curiosity and Learning: Voracious reader of internal and external sources, taking inspiration from other industries.
  </li>
  <li>
   Storytelling and Influence: Strong storytelling skills and the ability to influence others.
  </li>
  <li>
   Autonomy: Capable of working independently and autonomously.
  </li>
  <li>
   Strategic and Executive Skills: Ability to define and influence at every level (above, below, peer) and have an executive presence.
  </li>
  <li>
   Collaborative Experience: Experience working collaboratively with different functions &ndash; Data (Data Engineering, Data Science, Business Intelligence) as well as Non-Data (Product, UX, Dev). Skilled in navigating a highly matrixed and cross-functional environment, humble yet proactive and committed leadership approach.
  </li>
  <li>
   Soft Skills: Executive-level written and verbal communication skills.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Responsibilities:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Engages with internal partners to understand business strategy, questions, and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for enterprise-wide strategic initiatives.
  </li>
  <li>
   Acquires and compiles structured and unstructured data and verifies its quality, accuracy, and reasonableness. Leads the development of data quality standards, and the tools and methods used to measure and improve data quality.
  </li>
  <li>
   Performs analyses of data from multiple sources to surface trends and insights using advanced analytical methods and machine learning. Validates analytical techniques employed by other analysts.
  </li>
  <li>
   Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for senior leader stakeholders to implement.
  </li>
  <li>
   Develops, owns, and manages recurring analytic or reporting processes. Demonstrates expertise in data visualization and mentors analysts on data visualization best practices.
  </li>
  <li>
   Develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Stays abreast of emerging trends and external best practices. Participates and presents during scheduled analytics seminars.
  </li>
  <li>
   Participates in special projects and performs other duties as assigned.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum of 10 years of related work experience in advanced analytics and data science within a financial services context.
  </li>
  <li>
   Undergraduate degree in an analytic/quantitative field such as: Applied Mathematics, Statistics, Economics or related analytical field of study or equivalent combination of training and experience. A graduate level degree in an analytics focused field is strongly preferred.
  </li>
  <li>
   Extraordinary analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources. The ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management.
  </li>
  <li>
   Expert level skills in the following suite of data analysis tools: Data Extraction languages such as SQL. Proficiency with relational databases or Big Data platforms, Data Analysis packages (Python, R, SAS etc.) and Data Visualization packages (Tableau, etc.)
  </li>
  <li>
   Significant experience with advanced statistical and machine-learning methods such as: regression models, propensity models, segmentation, optimization, experimental test design, time series analysis, cohort analysis, Bayesian methods, decision trees, text analysis
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Special Factors
  <br/>
  <br/>
 </strong>
 <strong>
  Sponsorship
  <br/>
  <br/>
 </strong>
 Vanguard is not offering visa sponsorship for this position.
 <br/>
 <br/>
 <strong>
  About Vanguard
  <br/>
  <br/>
 </strong>
 At Vanguard, we don't just have a mission&mdash;we're on a mission.
 <br/>
 <br/>
 To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
 <br/>
 <br/>
 <strong>
  How We Work
  <br/>
  <br/>
 </strong>
 Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
</div>


Data Analyst, Specialist

VTG Defense

<div>Overview:
<div>
We are seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights.</div>
Responsibilities:
<ul><li>Analyze large, complex datasets to identify trends, patterns, and actionable insights</li><li>
Develop, train, and validate machine learning and statistical models</li><li>
Design and implement experiments, including A/B testing and predictive analytics</li><li>
Collaborate with data engineers and analysts to ensure data quality and accessibility</li><li>
Communicate findings and recommendations to technical and non-technical stakeholders</li><li>
Build data visualizations and dashboards to present insights effectively</li><li>
Deploy and monitor machine learning models in production environments</li><li>
Continuously improve model performance and accuracy</li><li>
Stay current with emerging data science techniques, tools, and technologies</li></ul>
Qualifications:
<ul><li>Active TS/SCI with Polygraph required.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)</li><li>
5+ years of experience in data science or a related field</li><li>
Strong proficiency in programming languages such as Python or R</li><li>
Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)</li><li>
Strong foundation in statistics, probability, and data analysis techniques</li><li>
Experience with SQL and working with large datasets</li><li>
Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)</li><li>
Familiarity with cloud platforms (AWS, Azure, or GCP)</li></ul></div><div></div>

Data Scientist

Highbrow LLC

<div>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
 </p>
 <ul>
  <li>
   Around 10+ years of advanced hands-on experience in data science,
   <strong>
    statistical modeling, and analytics using
   </strong>
   <strong>
    Python and R
   </strong>
  </li>
  <li>
   <strong>
    Strong SQL skills
   </strong>
   , including complex joins, aggregations, window functions, sorting, and query optimization
  </li>
  <li>
   Proven experience working with large-scale structured and unstructured datasets across flat files, relational databases, cloud platforms, and distributed systems
  </li>
  <li>
   <strong>
    Strong exposure to GCP and Microsoft Azure and cloud-based analytics/data science environments
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    Spark, Databricks, and large-scale data processing frameworks
   </strong>
  </li>
  <li>
   Experience with analytics and data science tools such as
   <strong>
    Dataiku and RapidMiner
   </strong>
  </li>
  <li>
   Solid understanding of descriptive statistics, hypothesis testing, EDA, and feature analysis
  </li>
  <li>
   Experience in telecom or similarly complex, multi-domain environments preferred
  </li>
  <li>
   Strong knowledge and hands-on experience with supervised and unsupervised machine learning methods, including:
  </li>
  <li>
   o
   <strong>
    Linear and logistic regression
   </strong>
  </li>
  <li>
   o Decision trees and tree-based methods
  </li>
  <li>
   o Random forest, gradient boosting, and other ensemble techniques
  </li>
  <li>
   o Support Vector Machines
  </li>
  <li>
   o Clustering methods such as k-means, hierarchical clustering, and DBSCAN
  </li>
  <li>
   o Dimensionality reduction techniques such as PCA
  </li>
  <li>
   Experience building predictive and classification models for business use cases such as:
  </li>
  <li>
   o Customer churn prediction
  </li>
  <li>
   o Customer segmentation
  </li>
  <li>
   o Revenue forecasting
  </li>
  <li>
   o Campaign response and propensity modeling
  </li>
  <li>
   o Anomaly and fraud detection
  </li>
  <li>
   o Service performance and network issue prediction
  </li>
  <li>
   o Customer experience and support interaction analytics
  </li>
  <li>
   Experience with time series analysis and forecasting for operational and business trend analysis
  </li>
  <li>
   Experience with feature engineering, model validation, hyperparameter tuning, and model performance evaluation
  </li>
  <li>
   Strong understanding of model evaluation metrics for regression, classification, and clustering use cases
  </li>
  <li>
   Ability to identify the appropriate modeling approach based on business problem, data quality, and operational constraints
  </li>
  <li>
   Experience supporting enterprise data environments spanning multiple business functions
  </li>
  <li>
   Knowledge of telecom KPIs, subscriber behavior, billing data, network performance data, and customer interaction datasets
  </li>
  <li>
   Familiarity with MLOps concepts, model monitoring, and model lifecycle management
  </li>
  <li>
   Experience with dashboarding and data visualization tools to present analytical findings effectively
  </li>
  <li>
   Familiarity with A/B testing, causal inference, and experimentation frameworks is a plus
  </li>
  <li>
   Experience with NLP/text analytics for customer care notes, tickets, surveys, or interaction data is a plus
  </li>
  <li>
   Exposure to recommendation systems, optimization methods, or graph/network analytics is a plus
  </li>
  <li>
   Strong people skills, team orientation, and professional attitude
  </li>
  <li>
   Excellent written and verbal communication skills, with the ability to explain complex technical concepts to business stakeholders
  </li>
 </ul>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Job Responsibilities
  </strong>
 </p>
 <p>
 </p>
 <ul>
  <li>
   Apply advanced data science and machine learning techniques to large telecom datasets to identify patterns, trends, and opportunities that improve mission and business decisions
  </li>
  <li>
   Partner with stakeholders across marketing, network, IT, billing, customer care, and other business units to understand data challenges and translate them into analytical and modeling solutions
  </li>
  <li>
   Develop, validate, and deploy statistical and machine learning models to support cross-functional operational and strategic initiatives
  </li>
  <li>
   Analyze enterprise data from multiple source systems and domains to uncover actionable insights, business drivers, operational risks, and performance opportunities
  </li>
  <li>
   Build predictive, segmentation, forecasting, and anomaly detection models relevant to enterprise and telecom use cases
  </li>
  <li>
   Perform data mining, exploratory data analysis, feature selection, and model diagnostics on large and complex datasets
  </li>
  <li>
   Work with structured, semi-structured, and distributed data environments using modern cloud and big data platforms
  </li>
  <li>
   Collaborate with data engineers, architects, analysts, and business partners to productionize models and support scalable analytical solutions
  </li>
  <li>
   Communicate findings, modeling approaches, assumptions, and recommendations clearly to both technical and non-technical audiences
  </li>
  <li>
   Contribute to best practices in data science, model governance, documentation, reproducibility, and analytical standards within the IT organization
  </li>
 </ul>
 <li>
 </li>
 <p>
 </p>
</div>


HNTB Corporation

<div><p><b>What We're Looking For</b></p>
<p>At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.</p>
<p>This opportunity entails being responsible for designing and implementing data science solutions that address business challenges. You will collaborate with stakeholders to define analytical goals, build predictive models, and deploy scalable solutions using modern data science tools and techniques. The role includes mentoring junior team members, optimizing data workflows, and integrating advanced technologies such as cloud computing, AI/ML, and real-time analytics into business processes. This role builds on foundational skills and introduces broader responsibilities in technical execution, problem-solving, and team collaboration.</p>
<p><b>What You'll Do:</b></p>
<ul><li>Analyzes large datasets to identify trends, patterns, and actionable insights.</li>
<li>Builds and validates predictive models using statistical and machine learning techniques.</li>
<li>Collaborates with stakeholders to define problem statements and data requirements.</li>
<li>Develops and maintains data pipelines and model deployment workflows.</li>
<li>Conducts A/B testing and evaluates model performance.</li>
<li>Mentors junior team members and contributes to knowledge sharing.</li>
<li>Presents findings to technical and non-technical audiences.</li>
<li>Performs other duties as assigned.</li>
</ul><p><b>What You'll Need:</b></p>
<ul><li>Bachelor&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems and 2 years of relevant experience, or</li>
<li>Master&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems and 1 years of relevant experience, or</li>
<li>In lieu of education, 6 years of relevant experience</li>
</ul><p><b>What You'll Bring:</b></p>
<ul><li>Experience applying data science to infrastructure/transportation use casessuch asasset analytics, deterioration modeling, resilience, or risk assessment.</li>
<li>Experience with statistical modeling, regression, and travelbehaviorand survey data.</li>
<li>ProficiencywithGIS,Python, R, SQL,or ETL pipelinesand experience communicating results throughArcGIS,Power BI, Tableau, or similar tools.</li>
<li>Demonstrated experience with machine learning algorithms and applied model development (e.g., k-NN, Naive Bayes, SVM, Decision Forests, etc.).</li>
<li>Strong stakeholder communication skills and comfort translating analytical results into actionable guidance.</li>
</ul><p><b>What We Prefer:</b></p>
<ul><li>Master&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems</li>
</ul><p><b>Additional Information</b></p>
<p>Click here for benefits information: HNTB Total Rewards</p>
<p>Click here to learn more about Equal Opportunity Employer/Disability/Veteran</p>
<p>Visa sponsorship is not available for this position.</p>
<p>\#RN</p>
<p>.</p>
<p>Locations:</p>
<p>Atlanta, GA, Chicago, IL, Cleveland, OH, Minneapolis, MN, New York, NY</p>
<p>.</p>
<p>The approximate pay range for New York is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>.</p>
<p>The approximate pay range for Ohio is $74,417.85 - $111,626.77. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.</p>
<p>.</p>
<p>.</p>
<p>The approximate pay range for Minnesota is $78,138.74 - $117,208.11. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.</p>
<p>.</p>
<p>The approximate pay range for Illinois is $81,859.63 - $122,789.44. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.</p>
<p>.</p>
<p>The approximate nation wide pay range for this position is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.</p>
<p>.</p>
<p><i>NOTICE TO THIRD-PARTY AGENCIES:</i></p>
<p><i>HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.</i></p>
<p><b>Job Type:</b> Regular</p>
<p><b>Full/Part Time:</b> Full time</p>
<p><b>Job Category:</b> Technical Group</p>
<p><b>ReqID:</b> R-29829</p></div><p></p>

Data Scientist II – Asset Analytics and Transportation Modeling

American business solutions inc

<div><h5 class="jobSectionHeader"><b>Engagement Type</b></h5>
Contract<h5 class="jobSectionHeader"><b><br>
</b></h5><br>
Essential Duties/Responsibilities:<br>
<br>
The essential functions of this role are as follows:<br>
<ul><li>Provides mentoring and guidance to other, more junior Data Scientists and staff</li><li>Support the development of internal web applications or interactive tools that help operationalize and deliver data science products across the organization.</li><li>Acts as mentor and DS SME for other more junior DS users across the state and key external stakeholders</li><li>Engages with key business stakeholders on large projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions</li><li>Assesses the structure, content, and quality of the data through examination of source systems and data samples</li><li>Collaborates with other DS professionals, data engineers, and BI professionals around data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs</li><li>Prioritizes requirements and create rapid prototypes and minimally viable products for end users</li><li>Looks for opportunities to improve current processes or find efficiencies by applying industry best practices as a DS professional</li><li>Mines and analyzes data from state databases to drive insights into problems and efficiency in processes while maintaining the standards of organizational excellence</li><li>Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies</li><li>Uses and monitors the input for code repositories like GitHub for code version control</li><li>Provides end user education for interpretation of business data</li><li>Tests and evaluates data solutions as it relates to upgrades to existing software</li><li>Provides maintenance and support for existing data solutions for the agency</li><li>Documents and communicates technical specifications to ensure that proper techniques and standards are incorporated into deliverables and understood by the end users</li></ul>
The job profile is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.<br>
Job Requirements:<br>
<br>
<ul><li>The ideal candidate in this role should minimally have either:</li><li>A Bachelor&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience and passion for leveraging data to drive significant organizational impact, or</li><li>a Master&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics, or</li><li>4+ years of experience and passion for leveraging data to drive significant organizational impact.</li><li>Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation</li><li>Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications</li><li>Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks</li><li>Strong understanding of relational and dimensional databases, theories, principles, and practices</li><li>Exceptional analytical, conceptual, and problem-solving abilities</li><li>Must inhabit strategic thinking</li><li>Strong written/oral communication and presentation skills</li><li>Resourceful self-starter and highly motivated team player</li><li>Able to perform well in a fast-paced environment</li><li>Experience with data manipulation to include cleansing, standardizing, and transforming.</li><li>Experience in leading workshops or training sessions with a user community a plus</li><li>Experience with the following concepts or tools is not a requirement but considered a plus (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)</li><li>Experience generating and distributing visualizations to a broad range of audiences</li><li>Effective communicator and someone who enjoys getting to understand nuances of a problem</li><li>Proficiency using frameworks such as Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications.</li></ul>
<br>
Supervisory Responsibilities/Direct Reports:<br>
<br>
The Data Scientist Intermediate may have supervisory responsibilities for lower data scientists (state employees or contractors).<br>
<br>
Difficulty of Work:<br>
The Data Scientist is required to manage multiple, complex, completing large scale data solutions/products, provide leadership and mentorship to team members, and provide thought leadership and continuous improvement strategies for the organization.<br>
<br>
Responsibility:<br>
The Data Scientist works closely with higher-level staff and/or management to outline general objectives and boundaries that the Data Scientist will follow to meet the requirements. Unusual problems or deviations from guidelines or practice are discussed with the manager. Work is reviewed for attainment of objectives and compliance with policy and practice.<br>
<br>
Personal Work Relationships:<br>
Works with core internal team of project managers, engagement directors, data scientists, data engineers; as well as agency staff, agency leadership, and community partners on dashboard projects.
<h5 class="jobSectionHeader"><b>Required/Desired Skills</b></h5>
Skill Required/Desired Amount of Experience Bachelor&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience Required Or a Master&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics Required or 4+ years of experience and passion for leveraging data to drive significant organizational impact. Required Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications Required 2.0 Years Experience connecting to backend data pipelines, and deploy lightweight analytic applications Required 2.0 Years Experience using (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation Required 2.0 Years Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) Required 2.0 Years Experience with data manipulation to include cleansing, standardizing, and transforming Required 2.0 Years Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) Required 2.0 Years Strong understanding of relational and dimensional databases, theories, principles, and practices Required 2.0 Years Experience in leading workshops or training sessions with a user community a plus Required Exceptional analytical, conceptual, and problem-solving abilities Required Experience generating and distributing visualizations to a broad range of audiences Required Must inhabit strategic thinking Required Strong written/oral communication and presentation skills Required Resourceful self-starter and highly motivated team player Required Able to perform well in a fast-paced environment Required Effective communicator and someone who enjoys getting to understand nuances of a problem Required Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes) Highly desired</div>

Search 10000+ Data science specialist jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 data science specialist jobs Near Me

Senior Specialist, Electrical SAP II

Data Analyst, Specialist

Data Scientist

Data Scientist

Data Scientist II – Asset Analytics and Transportation Modeling

Data Scientist II – Asset Analytics and Transportation Modeling

Data Scientist