About the company: Seek, an Eldridge company, is on a mission to connect analytics developers and consumers like never before - driving business value in minutes, not months. Insight Cloud, the analytics app store for your business, was created to make it easy for everyone to build, distribute, and consume data & analytics apps in the thriving cloud analytics economy. Insight Cloud delivers instant access to curated, ready-to-use analytics apps from the leading providers in the market, accelerating your speed to insights by 15X+ while eliminating the pain of building, hosting, and maintaining an entire analytics ecosystem on your own. Built for developers and consumers alike, Insight Cloud is not just another tool to work with data - it is the platform connecting leading analytics developers with innovative consumers - driving business value faster than ever. About the role: Seek’s Data Science team is central to our mission making advanced predictive analytics and machine learning applications accessible to businesses of all sizes.  Your work will involve exploring customer and partner data sets, developing predictive models, and applying machine learning techniques to uncover trends, patterns, and insights that can generate significant improvements to industry-wide practices. You will collaborate closely with stakeholders to build and launch new analytics apps, ensuring that the insights generated are accessible through Seek’s app store. In this role you’ll get to: - Analyze large (and sparse) datasets to extract meaningful patterns, trends, and insights using advanced statistical methods and machine learning algorithms.  - Construct and maintain data processing workflows, ensuring efficient mapping and transformation of client source data.  - Perform data enrichment by sourcing additional datasets and integrating them with client data to enhance analytical depth and accuracy.  - Develop complex SQL queries and Python scripts to transform and model data, tailoring configurations and fine-tuning parameters for optimal performance.  - Translate business challenges into analytical frameworks, proposing and implementing data-driven solutions that have a tangible impact on our clients’ decision-making processes.  - Create and maintain interactive dashboards that provide intuitive visualizations of data insights, enabling users to derive clear, actionable information.  - Work closely with analytics engineers, other data scientists and business stakeholders to ensure that ML models are aligned with business goals and technical requirements. - Write clear and comprehensive documentation for ML models, pipelines, and workflows to facilitate collaboration and reproducibility. Qualifications: - 5+ years of experience in data science, with a proven track record of deploying and training machine learning models - Advanced proficiency in Python ML libraries such as Scikit-learn, TensorFlow, and PyTorch for regression, classification, clustering, and deep learning techniques - Strong understanding of gradient boosting frameworks such as XGBoost and LightGBM for building high-performance models - Strong expertise in data and feature engineering including data cleaning, normalization, transformation, and creating/selecting relevant features from raw data - Strong expertise working with large-scale datasets directly within cloud data warehouses such as Snowflake, DataBricks, or Redshift - Advanced SQL skills: joins, subqueries, window functions, common table expressions (CTEs), aggregations, complex string manipulations, stored procedures and functions - Bachelor's degree in data science, statistics, computer science, or a related field. We’re especially interested in you if you have: - Experience with SnowPark ML (Snowflake) for Python: DataFrame API, user-defined functions (UDFs), and ML Pipelines - ML performance optimization experience: efficient computation, parallel processing, hyperparameter turning, model pruning, and quantization - Experience with data visualization tools and techniques - Excellent problem-solving and creative thinking skills with ability to drive complex data analysis and development forward independently - Strong communication skills with the ability to present data and articulate complex technical concepts clearly and concisely   Benefits: - Medical Insurance, Dental Insurance, PTO, 16 annual company holidays, 401K, Vision Insurance Tools we use: - SQL, Python ML, Scikit-learn, TensorFlow, PyTorch, Snowflake, DataBricks, Redshift Salary - The annual salary range for this position is between $145,000 - $175,000, depending on experience and qualifications. Location - This is an entirely remote position for candidates based in the US. No Visa Sponsorship Available - We do not offer visa sponsorship at this time. What Sets Us Apart Seek is committed to a culture that values ownership, flexibility, and collaboration. We prioritize work-life balance and encourage our team to explore new ideas, test hypotheses, and innovate continuously. You’ll join a diverse group of professionals dedicated to pushing the boundaries of business analytics development, with ample opportunities to grow alongside talented peers who value your expertise and vision

• Owning end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionizing models in Azure ML and Databricks • Implementing prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning • Implementing and maintaining feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage) • Designing and executing A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact • Applying SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners

• Build the next generation ML systems that transform the way people find what they love. • Focus on building, productionizing and scaling machine learning models, and promoting engineering excellence. • Work with data scientists and lead cross-functional collaboration with Strategy, Product, Merchandising, Marketing, and Engineering partners to enhance capabilities. • Drive step-change improvements in machine learning models through novel research, large-scale experimentation, and production deployment. • Improve how we serve real-time recommendations in production at scale.

Description ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Scientist to support our work across NIH. We look for someone who loves to learn and is passionate about their work. The ideal candidate will have a strong foundation in machine learning principles, experience with relevant tools and frameworks, and a passion for continuous learning and innovation. The ability to work standard Eastern Time is expected. What you’ll be doing: - Conceptualize and develop custom AI-driven data pipelines which address client problems, maximize efficiency, and maintain high standards of quality. - Design and develop statistical analyses, visualize the output of statistical models, present and interpret the output of predictive models, and perform quality assurance tasks on model code and output. - Develop solutions to a variety of client problems using both generative AI non-generative AI models. - Identify important and interesting questions about large datasets, then translate those questions into concrete analytical tasks. - Build quantitative models with data and communicate the results of those models to stakeholders. - Help conceptualize, as well as perform, data analyses to summarize trends. - Develop and execute database queries that in turn support developing/formatting modeling inputs Basic Qualifications: - Bachelor’s degree in a technical field: Computer Science, Engineering, or related discipline - 3 or more years of experience with modeling and quantitative analysis using standard statistical software. - Highly proficient in Python. - Experience with GenAI and LLM tools and frameworks. - 1 or more years’ experience working with any major public cloud service (experience preferred with Bedrock, Foundry, Vertex AI or similar). - 1 or more years’ experience with NLP, machine learning, deep learning principles and practices. - Strong communication and teamwork abilities. - Ability to obtain and maintain a public trust clearance - U.S. citizenship or lawful permanent residency (Green Card holder) is required due to federal contract requirements Preferred Qualifications: - Experience with incorporating Generative AI into data transformation pipelines. - Demonstrated prompt engineering expertise to design, test, and iterate LLM prompts that improved answer quality and reduced hallucinations. - Understanding of Deep Learning methodology. - Experience with data warehouse design and development as well as data modeling for both relational and dimensional data models. - Demonstrated experience showing strong critical thinking and problem-solving skills paired with a desire to take initiative. - Excellent listening, written, and oral communication skills. - Ability to exercise independent judgement while effectively prioritizing and executing tasks while under pressure. - Team player with the ability to work in a fast-paced environment. Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.   Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $89,649.00 - $152,404.00 Nationwide Remote Office (US99)