applied data scientist

ALICE + OLIVIA

<div>
 
 Location: New York, NY or Secaucus, NJ (Hybrid)
 
 
 Decision Science Engineer (Applied Data Scientist)
 
 
 
 
 
 
 POSITION SUMMARY:
 
 
 
 ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 
 
 
 
 
 This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
 </li>
 <li>
 Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
 </li>
 <li>
 Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
 </li>
 <li>
 Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
 </li>
 <li>
 Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
 </li>
 <li>
 Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
 </li>
 <li>
 Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
 </li>
 <li>
 Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
 </li>
 <li>
 Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
 </li>
 <li>
 Document methodologies and assumptions to support long-term ownership and institutional knowledge.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS:
 
 
 <ul>
 <li>
 4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
 </li>
 <li>
 Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
 </li>
 <li>
 Proficiency in Python for data analysis, modeling, and production-grade code.
 </li>
 <li>
 Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
 </li>
 <li>
 Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
 </li>
 <li>
 Familiarity with experiment design and causal inference.
 </li>
 <li>
 Experience with time-series forecasting at scale.
 </li>
 <li>
 Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
 </li>
 <li>
 Experience working with messy, real-world data and designing models that support business judgment.
 </li>
 <li>
 Ability to reason about semantic or ontology-based data models.
 </li>
 <li>
 Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
 </li>
 <li>
 Long-term ownership mindset for maintaining and evolving models over time.
 </li>
 <li>
 Hands-on experience building or contributing to Palantir Foundry Workshop applications.
 </li>
 <li>
 Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
 </li>
 <li>
 Exposure to agent-based or AI-assisted analytics workflows.
 </li>
 <li>
 Experience working within a formal data governance or steerco-driven prioritization structure.
 </li>
 <li>
 Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
 </li>
 </ul>
 
 
 
 
 
 ADDITIONAL INFORMATION:
 
 
 
 This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 
 
 
 
 
 ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 
 
 
 
 
 $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 
</div>

Data Scientist

GitKraken

<div>The Company

GitKraken is the developer experience (DevEx) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built-in AI and powerful workflow orchestration, GitKraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. GitKraken&rsquo;s seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile DevEx platform available across desktop, command line, IDE, web, and mobile environments. Discover smarter, faster development at www.gitkraken.com or follow us on LinkedIn. 
The Role 

At GitKraken, our goal is to help developers and their teams focus, create, and collaborate while minimizing distractions, context switching, and wasted time. Our developer experience platform supports millions of developers across desktop, command line, IDE, browser, web, and mobile. 
We&rsquo;re looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data. Sometimes it will come from the business. In both cases, you&rsquo;ll be expected to determine what&rsquo;s possible, identify the fastest credible path forward, and ship solutions that create measurable impact. 
This is a high-ownership role for someone comfortable working across data, product, and engineering. You should be able to frame ambiguous problems, explore messy data, build models or heuristics, integrate with production systems, measure outcomes, and iterate quickly. We care about practical impact, traction, and speed of learning. We are not looking for someone who waits for perfect specs or over-polishes a solution before proving it matters. 
What You'll Do 
<ul>
<li>Identify high-value opportunities from product, customer, and operational data</li>
<li>Evaluate ambiguous ideas quickly and determine what is feasible, useful, and worth shipping</li>
<li>Identify high-value opportunities from product, customer, and operational data</li>
<li>Build practical 80/20 solutions that create leverage quickly, then refine them based on traction</li>
<li>Own end-to-end execution across data exploration, modeling, experimentation, backend integration, and productization</li>
<li>Partner with engineering, product, design, and leadership to turn rough ideas into shipped capabilities</li>
<li>Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one is not needed</li>
<li>Define success metrics, instrument outcomes, and improve solutions based on real-world usage</li>
<li>Help shape how GitKraken uses AI and data to improve developer workflows, team velocity, and product experience</li></ul> 


Our Tech Lens

We value strong fundamentals over a rigid checklist and are always open to adopting new technologies, here is a snapshot of our current ecosystem:
<ul>
<li>Languages: Python (for data/ML execution), alongside Go and TypeScript across our core product and backend environments.</li>
<li>Data &amp; Infrastructure: Snowflake for data warehousing, AWS for cloud infrastructure, and Datadog for monitoring and observability.</li>
<li>AI Ecosystem &amp; DevEx: We live and breathe developer experience. We heavily leverage and build around modern AI development tools and LLMs like Cursor, Claude Code, and Codex to accelerate execution and shape the future of workflows.</li></ul> 


What We're Looking For
<ul>
<li>Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a Senior level</li>
<li>A track record of shipping data or ML-powered capabilities into real products or operational workflows</li>
<li>Comfort moving from messy problem statements to practical execution without a lot of structure</li>
<li>Ability to work across the stack, not just in notebooks</li>
<li>Strong product judgment and a bias toward simple solutions that deliver measurable value</li>
<li>Experience deciding whether a problem is best solved with ML, rules, analytics, automation, or workflow design</li>
<li>Ability to balance speed and rigor, including knowing when &ldquo;good enough to learn&rdquo; is the right answer</li>
<li>Strong communication skills and the ability to explain tradeoffs clearly to technical and non-technical partners</li>
<li> Ownership mindset: you don&rsquo;t wait for perfect specs, and you follow through from idea to impact</li></ul> 


Bonus Points
<ul>
<li>You&rsquo;ve built and shipped data or ML-powered features, not just analyses</li>
<li>You can prototype quickly and are comfortable refining after launch</li>
<li>You know how to avoid getting buried in edge cases before the core value is proven</li>
<li>You like working in a company with a bias toward action, accountability, and high ownership</li>
<li>You want your work to directly influence product direction and business outcomes</li></ul> 
How you'll be rewarded

 Excellence &mdash; Competitive compensation with annual performance-based pay increases 
 Balance &mdash; Flexible Paid-Time-Off Policy &amp; paid company holidays (chosen by our employees) 
 Parent life &mdash; Generous paid parental leave 
Pets &mdash; Pet insurance plan (with no exclusions) 
Health &mdash; Health, dental, and vision insurance with competitive employer cost-sharing 
Headquarters &mdash; Modern, fully equipped offices designed to maximize productivity in a hybrid environment 
 Culture &mdash; Great Place to Work Certified 
 Growth &mdash; Paid career development opportunities, audiobook subscriptions, and mentorship 
 Future &mdash; 401(k) retirement plan plus company matching 
 Travel &mdash; Company paid domestic trip after your 1-year anniversary &amp; an international trip every 5 years</div>

Senior Machine Learning Engineer, Applied AI & Data

MarketVision Research Inc.

<div><div><div><div>Cincinnati, OH</div></div><div><div>
Full-Time</div></div></div><div><div>
Forward-thinking role with the ability to analyze and translate complex behavioral, attitudinal and psychological data into clear results and actionable insights. We are looking for an autonomous, curious professional with a growth mindset who is passionate about solving human problems through data.
Note: This is a primary research-centric role focused on statistical consulting and human behavior insights. It is not a software engineering or ML infrastructure position.
&zwj;<h5 class="jobSectionHeader">
Position Description</h5><ul><li>
Lead end-to-end advanced analytics, ranging from foundational statistics to complex modeling initiatives
 
<ul><li>Strategic internal and external methodological consultation to achieve client business objectives</li><li>
Collaborate on primary research design and implementation</li><li>
Convert high-dimensional data into client-friendly narratives (reports, simulators) in partnership with internal teams</li></ul></li><li>
Partner with the Data Sciences team to elevate departmental experience &amp; capabilities</li></ul>
&zwj;<h5 class="jobSectionHeader">
Requirements</h5><ul><li>
Experience: 3+ years of professional experience in applied data science with a proven track record of delivering complex modeling projects</li><li>
Education: Degree in Data Science, Statistics, Economics, Quantitative Psychology or related field (Advanced degree preferred)</li><li>
Technical Skills: High proficiency in a statistical programming language (e.g., SAS, R, Python)</li><li>
Communication: Excellent ability to explain complex quantitative findings for non-technical stakeholders, both written and verbal</li><li>
Execution: Proven ability to manage multiple workstreams independently in a fast-paced, deadline-driven environment</li><li>
Mindset: A creative approach to problem-solving and a desire to understand the &ldquo;why&rdquo; behind the data</li></ul></div></div></div><div></div>

Marketing Research Insights – Data Analyst

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Data Scientist-related occupation.
 </li>
 <li>
 Alternatively, will accept a Master&rsquo;s degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics or a related field, and 3 years of experience in the job offered or in a Data Scientist-related occupation.
 </li>
 <li>
 Position requires 3 years of experience in the following: Python or R for statistical analysis and data manipulation, Product analysis, including root cause analysis and quantitative assessment of critical user journeys, Translating open-ended business problems into structured analytical frameworks, Defining and rationalizing metrics to measure product success and business outcomes, Communicating quantitative insights to influence non-technical and senior leadership stakeholders.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun &mdash; and we do it all together.
 
 
 The US base salary range for this full-time position is $194,850 - $237,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .
 
 
 Position reports to the Google San Bruno, CA office &amp; may allow for a hybrid schedule as per Google policy.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct end-to-end analysis using tools like SQL, R, and Python to solve ambiguous business problems and provide data-driven conclusions for projects and teams.
 </li>
 <li>
 Influence long-term product development strategies by providing analytical insights and actionable recommendations to cross-functional leadership and executive partners.
 </li>
 <li>
 Collaborate with stakeholders to translate and refine ambiguous business questions into tractable analyses, defining data requirements, methodologies, and evaluation metrics.
 </li>
 <li>
 Develop and prototype scalable analyses, business cases, and new processes, while advocating for necessary changes to data structures and metrics to support future needs.
 </li>
 <li>
 Define and report on Key Performance Indicators (KPIs) for business reviews, translating complex analysis results into clear business insights and product opportunities. Oversee data gathering and review analyses conducted by others, acting as a subject matter expert to anticipate challenges and ensure high-quality, validated data.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Target

<div>The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN US AS A SR OPERATION RESEARCH SCIENTIST &ndash; SUPPLY CHAIN NETWORK OPTIMIZATION
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About this opportunity:
Do you want to shape the future Supply Chain and Logistics strategy for a fortune 50 company and one of America&rsquo;s leading Retailer? Do you want to optimize Target&rsquo;s Global Supply Chain end to end, from sourcing to delivery of packages to guest? Are you excited at the prospect of analyzing large data sets and developing complex algorithms, simulation and optimization models to solve real world problems? Then this may be the ideal career opportunity for you!
The Supply Chain Network Optimization (SCNO) team is a global team integrated in the Operations Planning and Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, Transportation, Multi Echelon Inventory, Last-Mile and Process Optimization) to enable the best guest experience and profitable growth for Target.
As a Sr Operation Research Scientist in SCNO, you will be studying the complex problems in supply chain, understanding the business well and develop cutting-edge solutions. The role requires you to have strong working experience with large data sets, strong programming skills (Python/R) and foundational understanding of probability theory, machine learning and Monte Carlo simulations. Extensive knowledge of statistics, operations research and discrete event simulation is ideal as well.
As a Senior Operations Research Scientist you will:<ul><li>
Know your business and understand supply chain operational metrics and cost of end to end operations of supply chain.</li><li>
Analyze large amounts of supply chain data at the most granular level and develop key metrics to evaluate the performance and optimization opportunities for supply chain across sales, transportation, operations and inventory.</li><li>
Perform root cause analysis to understand key drivers related to operational performance and variance in the projected outcomes.</li><li>
Utilize operations research methodologies (linear programming, stochastic processes, simulation) to solve complex business problems.</li><li>
Collaborate with cross-functional teams including software engineers, applied data scientists and business stakeholders to gather inputs assumptions and understand business process along the way.</li><li>
Interpret results from the models and provide insights to the leadership team.</li><li>
Develop a clear inferences with data to influence decision making with Sr leaders.</li></ul>
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About You:<ul><li>
PhD or MS in Operations Research, Industrial Engineering, Computer Science, Data Science, Applied Mathematics, Physics or equivalent work experience</li><li>
3+ years of industry experience in supply chain optimization, simulation and probability statistics or equivalent domain experience</li><li>
Demonstrated programming experience using Python or R as well as advanced SQL querying skillset</li><li>
Proven experience in data pipeline building in the Hadoop ecosystem (PySpark)</li><li>
Extensive knowledge of supply chain concepts such as forecasting, inventory planning, optimization and logistics</li><li>
Knowledge of statistics and data mining techniques/tools to analyze and derive insights from historical sales data and simulation or experiment results</li><li>
Deep passion for problem solving, empirical research and continuous improvement</li><li>
Excellent communication skill with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives</li><li>
Self-driven and results oriented - able to meet tight timelines</li><li>
Motivated, team player with ability to collaborate effectively across global team</li></ul>
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target&rsquo;s needs. A Hybrid/Flex for Your Day work arrangement means the team member&rsquo;s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.</div>

Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)

Fors Marsh

<div>JOB TITLE: Senior Data Scientist, Audience Analytics for Healthy Communities
WHO WE ARE: At Fors Marsh, we take on issues that matter. We are a team of researchers, strategists, and communicators working together to drive lasting change. We look at human behavior from all angles with a deep understanding of people and context to design solutions that influence decision-making and move people to action. Our work promotes health and well-being, shapes resilient communities, and builds effective and accountable institutions. We are a certified B Corporation and a Top Workplace for 7 consecutive years.
WHO WE ARE LOOKING FOR: 
Fors Marsh is seeking an experienced quantitative researcher to serve as Senior Data Scientist in our Audience Analytics for Healthy Communities division (AA4HC), which applies data science and research to create actionable insights and plan and optimize communication campaigns, primarily national campaigns for federal clients. The division uses applied data architecture, programming, data visualization, GIS mapping, and statistical modeling to segment audiences and reach them efficiently and effectively. We also combine data from disparate sources into interactive dashboards to facilitate campaign management, optimization, and reporting. The selected individual will conduct data analysis, infrastructure, and visualization as part of projects to identify, understand, and track audiences for public education campaigns including tobacco/nicotine education campaigns. This will include coordinating with internal teams and vendors to integrate campaign media data into campaign performance dashboards. This person will provide technical guidance and coordinate the completion of project tasks and deliverables across teams and team members, upholding high standards for the team to exceed client expectations. 
 
Responsibilities include: 
<ul><li><ul><li>Data engineering, including developing scripts to automate advertising analytics/survey data cleaning and process reviews using ETL/ELT pipelines with medallion architecture (Python and R)</li><li>
Building and maintaining data visualizations for data exploration and trend analysis using Tableau and PowerBI dashboards.</li><li>
Conduct data analysis to interpret complex data, identify patterns, and shape actionable insights (including reports, presentations, and models). This includes descriptive reporting, casual inference, segmentation, and predictive modeling.
</li><li>Regular client interactions, such as presentations, reports, and status meetings to develop and refine data solutions to meet client needs, report on project progress, and share results.</li><li>
Ongoing communication with vendors and internal communication campaign teams to represent findings, coordinate next steps, navigate joint decision-making, and discuss potential implications</li><li>
Working in a collaborative team environment to logically design communication campaigns based on data.</li></ul></li><li><ul>
</ul></li></ul>Qualifications:
<ul><li><ul><li>At least 5 years' relevant experience with data science, segmentation, or communications planning</li><li>
Master's degree in social science, data science, public health, statistics, marketing or related field. PHD preferred</li><li>
Proficiency with data visualization tools like Tableau, Power BI, or similar</li><li>
Experience in working with Cloud computing servers (e.g. AWS) and data and data science related services (e.g., RDS, S3, SageMaker).
</li><li>Expertise in Python</li><li>
Proficiency in R and SQL</li><li>
Experience using database and ETL systems to query and extract data using medallion architecture</li><li>
Data science experienced including supervised, semi-supervised, and unsupervised models; generalized linear/additive models; mixed models; random forest; clustering techniques; Bayesian approaches; cross-validation and model performance evaluation</li><li>
Experience working with large, complex, and nuanced datasets</li><li>
Superior verbal and written communications skills</li><li>
Applicants may be subject to a low-level government security investigation and must meet eligibility criteria for access to sensitive information</li><li>
A collaborative, problem-solving mindset</li><li>
Curiosity, flexibility, and a desire to learn</li></ul></li> 
</ul> 
Preferred Qualifications:
<ul><li>Applied experience with communications, media, or advertising</li><li>
Experience with audience segmentation and proficiency in commercial segmentation (e.g., MRI-Simmons, Nielsen, Claritas)</li><li>
Proficiency in GIS software (e.g. ArcGIS)</li><li>
Knowledge of marketing metrics, marketing principles and terminology</li><li>
Experience working with government public health agencies such as HHS, FDA, CDC, CMS, or statistical agencies like Census Bureau, Bureau of Labor Statistics, or Bureau of Economic Affairs.</li></ul> 
 
We Offer:
Our benefits typically meet or exceed our competitors' packages. What's in it for you?
<ul><li>Ability to make an impact on people's lives, both internal and external to the organization.</li></ul>
<ul><li>Top-tier health, dental, vision, and long and short-term disability coverage all covered at 100% for employee coverage.</li></ul>
<ul><li>Our company culture, which values balance and allows each employee to take leave as they require it to balance the responsibilities of both their work and home lives without worrying about depleting their available leave hours.</li></ul>
<ul><li>A floating holiday bank so you can celebrate the days you value.</li></ul>
<ul><li>Generous matching retirement contributions and no vesting period starting the third month of employment.</li></ul>
<ul><li>Dedicated training and development budgets to expand your expertise and grow your skillset.</li></ul>
<ul><li>You can volunteer your way with paid time off.</li></ul>
<ul><li>You can participate in Fors Marsh staff-led affinity groups.</li></ul>
<ul><li>Our employees receive product and service discounts through the certified B Corp network.</li></ul>
Salary: $92,000-$105,000
Internal Fors Marsh Career Map Title: Senior Scientist I
Location: Remote, open to United States Residents only. #LI-Remote
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 status as a protected veteran.</div>

Senior Data Scientist, Audience Analytics for Healthy Communities

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

Search 6848+ Applied data scientist jobs near you this June. New roles added regularly across leading industries. Apply today.

6848 applied data scientist jobs Near Me

Data Scientist

Senior Machine Learning Engineer, Applied AI & Data

Marketing Research Insights – Data Analyst

Data Scientist

Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)

Senior Data Scientist, Audience Analytics for Healthy Communities

Applied Scientist