Title: Data Scientist 1 Employee Type: Contract Remote: Yes Location: Fremont, CA, US Pay Range: $40 - $45 per hour Job Description: Job#: 3032716 Hey All, Pat here with Everforth Apex, with another position. Have a remote spot that can fall in the scientist or analyst realm with heavy work in Microsoft Purview. As always my AI assistant AI Riley helps me make the call, but if this is your dream job and you are highly interested too expedite the process, please drop your resume to [email protected], or if you just don't like an AI calling you Pay: Looking to pay 40-45 /hr on this Location: REMOTE, but need to go into an Apex Office to do an id verification before interview Employment Type: Contract- 1,.5 years Role Overview We are seeking a Data Scientist to support legal data workflows across the full eDiscovery lifecycle. This role works closely with legal, compliance, and investigations teams to manage, analyze, and prepare data for internal investigations, litigation, and regulatory matters. The position focuses on hands-on work in Relativity and Microsoft Purview, with an emphasis on data processing, analytics, and review readiness. Key Responsibilities - Support legal holds and preservation workflows across Microsoft 365 and other enterprise systems. - Assist with internal investigations, litigation, and regulatory matters by identifying, collecting, and preparing data. - Process and manipulate large datasets for eDiscovery, including filtering, deduplication, and data normalization. - Perform search term analysis and inclusive data segregation. - Support analytics workflows, including content grouping, clustering, and review prioritization. - Prepare data for attorney review, including workspace setup, batching, and reporting. - Support document review and production workflows, ensuring defensible and repeatable processes. - Generate metrics and reporting related to data volumes, processing results, and review status. - Collaborate with legal, IT, and compliance stakeholders to refine data strategies and workflows. Required Qualifications Education: Bachelor's degree in Data Science, Computer Science, Information Systems, Analytics or a related field, or equivalent practical experience. Skills: - Strong ability to work with large datasets and understand how data is structured. - Strong attention to detail and process discipline. - Experience analyzing, filtering, and preparing data for downstream use. - Comfort working in legal or regulated environments. - Ability to explain data findings clearly to non-technical audiences. - Ability to manage multiple data requests and investigations at the same time. - Willingness to learn and adapt to new tools and workflows. Technical Skills: - Experience with Relativity or Microsoft Purview. - Familiarity with Microsoft 365 data sources (Exchange, Teams, SharePoint, OneDrive). Preferred Qualifications - Experience with eDiscovery or legal data workflows. - Experience supporting investigations, litigation, or compliance matters. - Background in data analysis, data science, analytics, or information governance. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Apex uses a virtual recruiter as part of the application process. Click here for more details. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected]. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.

Lead the development and optimization of data pipelines and analytics solutions, conduct statistical analyses on large datasets, and collaborate with stakeholders to leverage data-driven insights for clinical and operational problem-solving.

Role DescriptionHow many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities - Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth - Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies - Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques - Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written - Identify what matters most and prioritize ruthlessly for the area you will own - Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact - Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company - Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction - Proficiency in SQL, Python or other programming/scripting languages - Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees - Ability to provide data insights and recommendations for 0→1 product even when sample size is small - Strong verbal and written communication skills Preferred Qualifications - Experience in startups or building 0→1 products - Expertise in using data to inform AI/ML product development - Background in SaaS product Compensation Canada Pay Range $162,400—$219,600 CAD

Senior Data Scientist- Global Marketing Measurement & Optimization Location: Hunt Valley, Maryland, US, 21031 Hybrid Workplace: Full-Time Department: Sales and Marketing Job Description: You may know McCormick as a leader in herbs, spices, seasonings, and condiments – and we’re only getting started. At McCormick, we’re always looking for new people to bring their unique flavor to our team. McCormick employees – all 14,000 of us across the world – are what makes this company a great place towork. We are looking to hire a Senior Data Scientist, Global Marketing Measurement and Optimization immediately in a Hybrid (50/50) capacity at our Global Headquarters in Hunt Valley, Maryland. What We Bring To The Table: The best people deserve the best rewards. In addition to the benefits you’d expect from a global leader (401k, health insurance, paid time off, etc.) we also offer: • Competitive compensation • Career growth opportunities • Flexibility and Support for Diverse Life Stages and Choices • Wellbeing programs including Physical, Mental and Financial wellness • Tuition assistance Position Summary: This Senior Data Scientist, Global Marketing Measurement and Optimization, will be responsible for bringing the data science expertise that is needed to lead a range of projects to drive better understanding of short- and long-term marketing effectiveness, including the next generation of technical modeling that powers McCormick’s marketing measurement and optimization program. McCormick can drive unprecedented brand growth by learning how to better measure all aspects of marketing/media design and execution and bringing these different analytics together to provide a holistic view on the drivers of short- and long-term growth and build predictive models to enable better decision making. The role is designed to give McCormick the data and analytical engine to make this happen. Key Responsibilities: - Lead the design and implementation of next-gen media measurement and optimization capabilities, integrating marketing mix, long term brand equity measurement, in-flight measurement (e.g., lift studies, A/B testing), pre-market factors that affect media (e.g., creative testing) - Develop media-driven volume forecasting tools to integrate into McCormick’s demand forecasting platform - Drive and leverage external connections to find new and improved tools and approaches to bring into McCormick - Partner with vendors used for outsourced models, serving as lead consultant on technical methodology alignment integration with new capabilities - Develop training content that enables business partners to use marketing optimization capabilities more effectively Qualifications: - Bachelor’s degree in Mathematics, Statistics, Engineering or Data Analytics/Science, or closely related field - 8+ years’ experience in data science, with media analytics expertise - Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales - Understanding of the business and technical aspects of Marketing Mix Modeling, Media Effectiveness Testing tools (Lift, A/B, etc.), Creative Testing, and proficiency for the evolution of and other tools in the Media Effectiveness Space - Demonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models - Demonstrated ability to connect the dots between complex data/analytics and business understanding - Proficiency with building dashboards for business users using data visualization software (Power BI preferred) - Expertise in SQL and Python coding - Demonstrated experience with building data models, machine learning & AI - Comfortable working with structured and unstructured data sources, e.g. syndicated data, SAP - Proven project leadership experience with demonstrated success in balancing multiple projects in a fast-paced environment; foresees and addresses issues before they become significant obstacles - Strong technical curiosity, a passion for problem solving and the ability to uncover richness of analytic insight that translates to business opportunity - Demonstrated agile learning skills; ability to learn new technology, skills & tools quickly and easily - Ability to synthesize analytic learnings and translate into compelling stories for a business audience - Effective at building collaborative, cross functional and cross-geography partnerships - Excellent written communication and presentation skills - Ability to travel internationally, as needed (0-5%) - Strong personal leadership, including attention to detail, quality of work and bias toward action - CPG or Food/Bev experience (preferred) As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future. Base Salary: $103,520 - 181,150. Base salary compensation will be determined based on factors such as geographic location, skills, education, experience for this role, and/or internal equity of our current employees as part of any final offer. This position is also eligible to participate in McCormick’s Sales Incentive Bonus (SIB) Plan. In addition to a competitive compensation package, permanent employees of McCormick are eligible for our extensive Total Rewards programs that include: - Comprehensive health plans covering medical, vision, dental, life and disability benefits - Family-friendly benefits such as paid parental leave, fertility benefits, Employee Assistance Program, and caregiver support - Retirement and investment programs including 401(k) and profit-sharing plans It is the policy of McCormick and Company to select and promote for all positions without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.