analytical data scientist

Radiance Technologies Inc.

<div><p>Radiance Technologies, a rapidly growing employee-owned company, is seeking an experienced <b>Data Scientist</b> to support the U.S. Army Space and Missile Defense Command (USASMDC) at Peterson Space Force Base, Colorado. This position supports a <b>customer-funded, one-year effort</b> with an anticipated period of performance from <b>August 1, 2026, through July 31, 2027</b><b>.</b> The selected candidate will apply advanced data analytics techniques to support national security missions by researching and analyzing structured and unstructured data, developing complex database queries, and transforming data into actionable insights. Working as part of a multidisciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, solve complex mission challenges, and communicate analytical findings and recommendations to stakeholders.</p><p></p><p><b>
Duties and Responsibilities</b></p><ul><li>
Perform research on structured and unstructured data sources using quantitative and qualitative metadata and content analytics.</li><li>
Construct and execute complex database queries to support mission requirements.</li><li>
Collaborate across multidisciplinary teams to integrate data sources and solve mission challenges.</li><li>
Identify meaningful insights from large datasets and communicate findings and recommendations to Government stakeholders.</li><li>
Support data management activities within large-scale, enterprise data environments.</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline (or equivalent experience).</li><li>
Five (5) or more years of experience as a Data Scientist or in a closely related analytical role.</li><li>
Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data within big-data environments.</li><li>
Experience performing complex data analysis and database queries.</li><li>
Active Top Secret/SCI security clearance.</li></ul><p></p><p><b>
Position Duration</b></p><p>
This position supports a customer-funded effort with an anticipated period of performance from August 1, 2026 through July 31, 2027. Employment is expected to conclude upon completion of the customer requirement. While Radiance cannot guarantee follow-on work after the period of performance, employees are welcome to apply for other open positions within the company for which they are qualified.</p><p></p><p>
Salary Range</p><p>
$150,000 - $175,000</p><p></p><p>
Radiance Technologies 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, or protected veteran status.</p></div>

Data Scientist

Preferred Travel Group

<p></p><div><p><b>Who we are:</b></p><p>
At Preferred Travel Group, we champion the power of travel to inspire meaningful connections and enrich lives around the world. As a global family of brands and programs representing the finest independent hotels and resorts, we are united by a shared belief in authenticity, collaboration, and the value of independent spirit. Our culture reflects our ideology in action: people first, relationships at the center, and a commitment to creating lasting impact for our partners, our global community, and one another. When you join Preferred, you become part of a purpose-driven organization where ideas are welcomed, growth is encouraged, and your work contributes to shaping the future of travel.</p><p>
________________________________________</p><p><b>
Why this role matters:</b></p><p>
We are looking to hire an analytical, intellectually curious, business-minded, and results-driven Data Scientist who is passionate about using data to solve complex problems and uncover new opportunities. The Data Scientist is responsible for advanced analytical modeling, statistical analysis, and AI/ML-driven insights across PTG&rsquo;s enterprise data platforms. This role partners closely with Data Engineering, BI Engineering, and business stakeholders to translate data into actionable intelligence, predictive models, and decision-support tools. By uncovering patterns, forecasting outcomes, and transforming complex data into meaningful insights, this position helps drive smarter business decisions, identify growth opportunities, and create measurable value across the organization.</p><p><b>
Success in this role comes from</b> a focus on developing scalable models and analytical frameworks that improve operational efficiency, revenue performance, and strategic decision-making. Success also requires the ability to translate complex datasets into clear, actionable recommendations, deliver reliable and repeatable analytical solutions, and continuously identify opportunities where data science and AI can create meaningful business impact.</p><p>
________________________________________</p><p><b>
What you&rsquo;ll deliver:</b></p><ul><li>
Data Science &amp; Modeling<ul><li>
Develop, validate, and deploy statistical and machine learning models</li><li>
Perform exploratory data analysis to identify trends, anomalies, and opportunities</li><li>
Build predictive models (e.g., revenue forecasting, member retention, segmentation)</li><li>
Design and evaluate experiments (A/B testing where applicable)</li><li>
Develop feature engineering strategies across large datasets</li></ul></li><li>
Business &amp; Analytical Translation<ul><li>
Translate business requirements into analytical models and measurable outputs</li><li>
Define key metrics, KPIs, and analytical frameworks with stakeholders</li><li>
Provide data-driven recommendations to support strategic initiatives</li><li>
Support financial, marketing, and operations teams with advanced analytics</li></ul></li><li>
AI &amp; Advanced Analytics<ul><li>
Support AI initiatives including recommendation models, automation, and agents</li><li>
Apply advanced techniques such as:<ul><li>
Regression, classification, clustering</li><li>
Time series forecasting</li><li>
Natural language processing (where applicable)</li></ul></li><li>
Evaluate model performance and continuously optimize</li></ul></li><li>
Data Integration &amp; Collaboration<ul><li>
Work closely with Data Engineers to ensure data readiness and pipeline integrity</li><li>
Collaborate with BI Engineers to productionize models into reporting layers</li><li>
Ensure models integrate into enterprise data architecture and workflows</li><li>
Partner with QA to validate data accuracy and model outputs</li></ul></li><li>
Data Governance &amp; Quality<ul><li>
Ensure data quality, consistency, and auditability of analytical outputs</li><li>
Document methodologies, assumptions, and model logic clearly</li><li>
Support compliance and audit requirements (SOC 2 alignment where applicable)</li></ul></li></ul><p><b>
What you&rsquo;ll bring to the team:</b></p><ul><li>
Programming:<ul><li>
Python or R (required)</li><li>
SQL (advanced)</li><li>
Machine Learning / Statistical Modeling:</li><li>
scikit-learn, TensorFlow, PyTorch, or equivalent</li></ul></li><li>
Data Platforms:<ul><li>
Experience working with data warehouses (Snowflake, Azure, etc.)</li></ul></li><li>
Visualization:<ul><li>
Power BI, Tableau, or similar (for model output interpretation)</li></ul></li><li>
Experience with:<ul><li>
Cloud platforms (Azure, AWS)</li><li>
Hospitality, loyalty, or revenue analytics (strong plus)</li><li>
Data marts / Kimball methodology environments</li></ul></li><li>
Familiarity with:<ul><li>
Feature stores, MLOps, model deployment pipelines</li><li>
AI-driven automation use cases</li></ul></li></ul><p>
________________________________________</p><p><b>
What Would Make You Stand Out:</b></p><p>
Having a bachelor&rsquo;s or master&rsquo;s degree in data science, mathematics, computer science or a related field along with 3-7 years of experience in data science or advanced analytics field plus experience working with large, complex datasets in production environments.</p><p></p><p><b><br>
Where you&rsquo;ll thrive:</b></p><ul><li>
You thrive in an analytical environment where statistical thinking, experimentation, and evidence-based decision-making are highly valued.</li><li>
You are naturally curious and enjoy exploring data to uncover trends, patterns, and opportunities that others may miss.</li><li>
You enjoy translating complex data into meaningful stories and actionable insights that influence business strategy and outcomes.</li><li>
You balance independent problem-solving with strong collaboration, partnering across technical and business teams to deliver measurable impact.</li></ul><p>
________________________________________</p><p><b>
Our Working Culture:</b></p><p>
With our in-office philosophy, our associates are expected to be in the office at least three days per week, supporting a healthy balance between in-person collaboration and flexible remote work. We take pride in our vibrant and inclusive culture, which thrives on meaningful connection, shared purpose, and cross-functional teamwork. In-office engagement plays a vital role in fostering spontaneous collaboration, accelerating innovation, and strengthening relationships across teams. It also provides valuable opportunities for mentorship, professional development, and a deeper sense of community.</p><p>
Please note: While the current expectation is a minimum of three days per week in the office, this may evolve over time in alignment with business needs and our continued commitment to culture-building</p><p>
Disclaimer: This description reflects the general nature and level of the role. It is not intended to be an exhaustive list of responsibilities or requirements.</p><p>
________________________________________</p><p><b>
Salary:</b></p><p>
$80,000 - $100,000, actual compensation within this range will be determined by multiple factors including candidate experience and expertise.</p></div><p></p>

Data Scientist I

Lynker

<div>Overview:
<p>
Lynker Corporation is seeking a <b>Marine Sensor Data Scientist &ndash; AI/ML</b> to support NOAA Fisheries&rsquo; Southeast Fisheries Science Center (SEFSC) Fisheries Assessment, Technology &amp; Engineering Support (FATES) Division. This proposed role will manage multidisciplinary marine sensor datasets and develop, train, test, and validate advanced analytical models that improve the efficiency and utility of SEFSC science products. Hiring for this position will be contingent on contract award.</p><p>
The SEFSC Advanced Technology and Innovation Branch combines emerging technologies, sensors, data systems, and analytical methods to expand scientific research capabilities. The Branch works with active and passive acoustics, multibeam systems, underwater and stereo video, environmental DNA, aerial imagery, and other data sources to develop advanced methods that support fisheries science and stock-assessment needs.</p>
Responsibilities:
<h2 class="jobSectionHeader"><b>Duties of the Marine Sensor Data Scientist will include the following:</b></h2><ul><li>
Manage and analyze marine data collected across the southeastern United States.</li><li>
Coordinate with project partners to optimize data collection and sensor configurations for artificial intelligence and machine-learning applications.</li><li>
Maintain familiarity with active and passive acoustic, multibeam, underwater video, stereo-video, environmental DNA, and aerial-image datasets.</li><li>
Assist with field-data collection as needed.</li><li>
Organize and document data and metadata using established protocols and tracking interfaces.</li><li>
Curate data in repositories, including cloud storage.</li><li>
Conduct data quality assurance and quality control and evaluate whether datasets meet criteria for advanced analyses.</li><li>
Prepare and archive datasets in accordance with government data-archiving requirements.</li><li>
Maintain an understanding of data products required to meet agency and SEFSC goals and of analytical routines used in SEFSC operations.</li><li>
Identify existing and potential datasets suitable for artificial intelligence and machine-learning tools.</li><li>
Annotate data and support model testing and training.</li><li>
Support or lead the development of machine-learning detectors and classifiers for sensor data.</li><li>
Develop, train, test, and validate analytical models.</li><li>
Generate science products that can be used by customers such as stock-assessment scientists.</li><li>
Participate in multidisciplinary working groups and collaborative projects within and outside NOAA.</li><li>
Prepare scientific proposals for extramural funding.</li><li>
Review reports, manuscripts, and scientific proposals.</li><li>
Participate in stakeholder engagement, public outreach, workshops, scientific meetings, symposiums, and public forums.</li><li>
Provide required monthly status reports and timely summaries of outreach and scientific-meeting activities.</li></ul><br>
<div></div>
Qualifications:
<h2 class="jobSectionHeader"><b>The Marine Sensor Data Scientist should have the following:</b></h2><ul><li>
A master&rsquo;s degree in data science, computer science, marine biology, or a related field, or an undergraduate degree with one year of relevant research experience.</li><li>
Proficiency in machine learning or other artificial-intelligence methods.</li><li>
Proficiency in software languages such as Python and R.</li><li>
Experience with Google Cloud Platform.</li><li>
Experience with cloud computing and model architecture.</li><li>
Experience with relational databases.</li><li>
Experience managing large datasets.</li><li>
Excellent written and oral communication skills.</li><li>
Ability to collaborate on large, multifaceted projects.</li></ul><h2 class="jobSectionHeader"><b>
The ideal Marine Sensor Data Scientist will have the following preferred qualifications:</b></h2><ul><li>
A Ph.D. in data science, computer science, marine biology, or a related field, with experience developing machine-learning models and advanced analytical techniques.</li><li>
Experience developing and deploying artificial-intelligence or machine-learning models using cloud resources.</li></ul><h2 class="jobSectionHeader"><b>
Work Environment</b></h2><p>
The position may be located at an SEFSC laboratory in Miami, Florida; Beaufort, North Carolina; Panama City, Florida; Pascagoula, Mississippi; or Galveston, Texas. The role includes computer-based data management, cloud computing, model development, collaborative scientific work, and potential field-data collection. Travel may be required for field activities, project meetings, workshops, scientific conferences, and public outreach. Facility access is generally available from 6:00 a.m. to 6:00 p.m., Monday through Friday. Travel and overtime must be authorized in accordance with contract requirements.</p><div><b>
About Lynker</b></div><div></div><div><br>
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.</div><div></div><div><br>
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities &ndash; creatively and effectively.</div><div></div><div><br>
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:</div><ul><li>
Comprehensive healthcare for the employee at no monthly cost</li><li>
Healthcare benefit covers medical, prescription drug, dental, and vision</li><li>
Personal Time Off (PTO) Policy plus paid holidays</li><li>
Highly competitive compensation plan regularly calibrated against industry and location benchmarks</li><li>
401(k) retirement plan with company-matching</li><li>
Employee Stock Ownership Plan (ESOP) &ndash; we're all company owners!</li><li>
Flexible spending accounts</li><li>
Employee assistance program (EAP)</li><li>
Short- and long-term disability insurance</li><li>
Life and accident insurance</li><li>
Tuition assistance/Training/Workforce improvement reimbursement per year</li><li>
Spot bonuses for exceptional performance</li><li>
Annual Employee Recognition Awards with bonuses</li><li>
Employee Referral Program</li><li>
Free centralized, self-directed Learning Management System to learn at your own pace</li><li>
Personalized career growth plans for every employee</li></ul><div><b>
Lynker is an E-Verify employer.</b></div><div></div><ul><li><br>
<b><i>This position is not currently funded and is contingent upon contract award. Employment is subject to successful completion of any required background checks and security processing required by the customer.</i></b></li></ul><div></div><div><b><br>
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws</b>.</div></div><div></div>

Marine Sensor Data Scientist – AI/ML

Markon

<div>Description:
<div>
Markon is seeking a Data Scientist Level 2 to analyze complex datasets and develop analytics that support mission and business decision-making for our Fort Meade Customer. This role applies statistical analysis, machine learning, and data engineering techniques to transform raw data into actionable insights, with a strong emphasis on Python-based analytics.</div>
Responsibilities:
<ul><li>Analyze structured and unstructured datasets to identify trends, patterns, and actionable insights.</li><li>
Develop and implement analytics, statistical models, and machine learning techniques to support mission requirements.</li><li>
Perform data wrangling, cleaning, transformation, and feature engineering to prepare data for analysis.</li><li>
Develop and maintain databases and data pipelines supporting analytical workflows.</li><li>
Create data visualizations and dashboards to clearly communicate findings to technical and non-technical stakeholders.</li><li>
Write efficient, maintainable Python code for data analysis and modeling.</li><li>
Collaborate with stakeholders to understand analytical requirements and translate them into technical solutions.</li><li>
Ensure data quality, integrity, and reproducibility of analytical results.</li></ul>
Qualifications:
<div>
Required Qualifications</div><ul><li>
Active TS/SCI w/ Polygraph with this Customer.</li><li>
Bachelor&rsquo;s degree with 5+ years of experience analyzing datasets and developing analytics.</li><li>
At least 5 years of programming experience using data analysis tools such as Python (required), R, SAS, or MATLAB.</li><li>
Strong foundation in statistical analysis.</li><li>
Hands-on experience with machine learning techniques.</li><li>
Demonstrated experience in data wrangling and data preparation.</li><li>
Experience with database management and data querying.</li><li>
Proficiency in data visualization techniques and tools.</li><li>
Strong written and oral communication skills.</li></ul><div>
Preferred Qualifications</div><ul><li>
Experience supporting Intelligence Community or government analytics.</li><li>
Familiarity with cloud-based data platforms and analytics environments.</li><li>
Experience working with large-scale or high-velocity datasets.</li></ul>
Salary Range: USD $160,000.00 - USD $180,000.00 /Yr.<br>
<br>
The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Overview:
<div>
Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.</div><div></div><div><br>
At Markon, we don't just offer jobs &ndash; we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.</div><div></div><div><br>
Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.</div><div></div><div><br>
Markon values people and the tremendous impact each individual can make &ndash; which is why we&rsquo;re consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation&rsquo;s most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters &ndash; bringing out the best in each other to advance our clients&rsquo; missions.<br>
<br>
Join us and make a meaningful impact.</div><div></div><div><br>
Markon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.</div><div></div><div><b><br>
Benefits Offered</b>: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays.</div></div><div></div>

Data Scientist Level 2

Data Scientist, Analytics (Ranking, AI)

Survice Engineering Company

<div><p><b>Join Us in Making a Difference in the Lives of Those Defending Our Nation!</b></p><p></p><p><b>
Why SURVICE?</b></p><p>
Come join the SURVICE Engineering mission to protect, enhance, and enable those who defend the United States. Since 1981, we have supported the DoD community, as well as Homeland Security, advanced technologies, environmental, and commercial markets. Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or operational military experience. If you're looking for a challenging and rewarding career with a leading organization, come see what we can offer you!</p><p><b>
Position</b></p><p><b>
Computational Data Scientist</b></p><ul><li><b>
Location:</b> Aberdeen Proving Ground, Maryland</li><li><b>
Security Clearance:</b> Active Clearance or Eligible to Obtain - <b>U.S. citizenship required</b></li><li><b>
Salary: </b>$115,000 - $130,000 <b>Depending on Experience and Education</b></li><li><b>
Travel:</b> 5%</li><li><b>
Benefits:</b> SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.</li></ul><p><b>
Position Summary</b></p><p><b>
SURVICE Engineering</b> is currently seeking a <b>Computational Data Scientist</b> to support our Aberdeen Research Operation. You will accelerate your career and become an integral team member within the defense community.</p><p><b>
Primary Duties and Responsibilities</b></p><ul><li>
Carry out forward-looking programs of materials research and process modeling leveraging data science methodologies and tools including artificial intelligence, machine learning (ML), probabilistic graph models, neural networks, or other emergent techniques.</li><li>
Work with a multidisciplinary team of ARL experimental, theoretical, and computational scientists through decision making aids such as visual analytics and human-in-the-loop strategies to improve scientific efficiency and impact.</li><li>
Apply learning algorithms on high-dimensional, complex and/or streaming data sets with limited labels and of diverse quality for smart decision making.</li><li>
Pursue data processing of heterogeneous types from numeric, digital objects, images, structured to unstructured from data capture, data integration, data cleaning to data management.</li><li>
Interface with data scientists in academic, industrial and government labs to identify and transition cutting edge tools for use at ARL, and work with outside partners to fill critical gaps in skills and capabilities.</li><li>
Prepare presentations and written documents summarizing efforts in Government format</li></ul><p><b>
Minimum Qualifications of Computational Data Scientist</b><br>
Masters of Science or PhD in Computer Science or Math related discipline and 3+ years of relevant experience. Exceptional candidates with less experience will be considered. Candidates are not required to possess all qualifications; if you possess some of the desired qualifications, please apply.</p><ul><li>
MS or PhD concentration in machine learning with at least three (3) independent projects including internships and thesis work OR minimum of five (5) years of dedicated experience with machine learning.</li><li>
Practical experience in applying data science to model complex real-world problems.</li><li>
Proficient in using Python and AI/ML models.</li><li>
Experience in communicating results through reports and presentations.</li></ul><p><b>
About Us</b></p><p>
SURVICE Engineering is a nationally recognized, single-source engineering service provider for Government and Industry organizations involved in all phases of the systems engineering process. Our employees are our most valuable asset, and they are proud to have supported the development, testing, analysis, and modeling and simulation (M&amp;S) of many of the major U.S. air, land, and sea combat systems in the field today. They have also contributed their expertise to other vital national defense programs and technologies that involve survivability, cybersecurity, information technology/management, software engineering, unmanned aerial systems (UASs), and metrology/reverse engineering.</p><p><i><br>
SURVICE Engineering is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. VEVRAA Federal Contractor.</i></p></div>

Computational Data Scientist

Tombras

<div><p>Tombras, a 600+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.</p><p></p><p><br>
You&rsquo;ll be joining one of the top independent agencies in North America. Connecting Data &amp; Creativity for Business Results&reg; is working for our clients and creating a flywheel affect fueling both client and agency growth. You&rsquo;ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.</p><p></p><p><b><br>
Why Join Tombras Analytics?</b></p><p>
Tombras Analytics sits at the cornerstone of <i>Connecting Data + Creativity for Business Results </i>and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.</p><p></p><p><br>
This role will be foundational to our Data Science Team, which will partner with our Analytics, Media, and Data-Ops Teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.</p><p></p><p><b><br>
Where you'll be working: </b>Knoxville, TN. Relocation assistance may be provided.</p><p></p><p><b><br>
What you'll be doing:</b></p><ul><li>
Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the results.</li><li>
Developing the framework and approach for marketing science and develop bespoke offerings.</li><li>
Employing best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices.</li><li>
Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models.</li><li>
Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation.</li></ul><p><b>
What you bring:</b></p><ul><li>
An M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research</li><li>
(Optional) Experience in marketing science or advertising analytics</li><li>
Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models</li><li>
Strong competency with python, R, SQL, and other commonly used statistical tools</li><li>
Client services mindset</li><li>
Ability to influence clients and partner agencies to act on insights</li><li>
Ability to distill complicated information into succinct graphical presentations for senior stakeholders.</li></ul><p></p><p><b><br>
Why you'll want to work at Tombras:</b></p><ul><li>
Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.</li><li>
Dog-friendly offices</li><li>
Flexible PTO</li><li>
Generous parental leave for primary and non-primary caregivers</li><li>
Medical (PPO or High Deductible option) for employee + dependents</li><li>
401(k) Participation</li><li>
Employer-paid Dental &amp; Vision</li><li>
A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.</li></ul><p>
Want more reasons to work at Tombras? Check out the latest Tombras News and Our Values.</p><p></p><p><br>
Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.</p><p>
Tombras is an E-Verify employer and participates in the E-Verify program.</p><p></p><p><i><br>
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.</i></p><p></p><p><i><br>
Remote employees must be based in the United States.</i></p></div>

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7964 analytical data scientist jobs Near Me

Data Scientist

Data Scientist I

Marine Sensor Data Scientist – AI/ML

Data Scientist Level 2

Data Scientist, Analytics (Ranking, AI)

Computational Data Scientist

Data Scientist