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Data Science and Data Visualization Subject Matter Expert (SME) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Type of Travel: None * * * Job Description: We are seeking a skilled and motivated Data Scientist to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data in a clear and compelling manner. Responsibilities: • Work with cross-functional teams to identify, research, and solve complex analytical problems • Analyze large data sets to extract meaningful insights • Design, build, and maintain machine learning models and algorithms • Collaborate with data engineers to improve data collection and storage • Present findings and recommendations to stakeholders in a clear and actionable manner • Support the organization's broad-spectrum Data Management requirements including, but not limited to: Data Strategy/ Modeling/ Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance. Required Qualifications: • Active TS/SCI Clearance with Polygraph • 5+ years experience as a Data Scientist, Data Analyst, or similar role • Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field. (e.g., Statistics, Mathematics, Computer Science, etc.). • Proficiency in data visualization tools such as Tableau, PowerBI, etc., including, but not limited to: data connection, data manipulation, data visualization • Knowledge of statistical analysis methodologies and data visualization tools. • Excellent problem-solving skills and attention to detail. • Excellent communication and collaboration skills • Ability to work independently and manage multiple projects simultaneously • Strong problem-solving skills and attention to detail Desired Qualifications: • Tableau Certified Professional - Preferred • Current Security+ or DOD 8570 IAT Level II Certification • Experience with scripting in Tableau (e.g., automation; troubleshooting; integration, performance optimization) • Proficiency in Python, R, SQL, and other relevant programming languages. • Experience with machine learning, predictive modeling, and data mining This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $68,400-$143,700 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Our mission is to bring web3 to a billion people, by providing builders with the tools they need to build exceptional onchain products. Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools necessary to build and scale onchain apps and rollups. Our infrastructure powers 70% of the top web3 teams, 90%+ of web2 companies building in web3 and 100+ million end users. Our customers include top web3 brands like Polymarket, OpenSea, Circle, WorldCoin, as well as major global brands like Shopify and Adobe. The Alchemy team draws from decades of deep expertise in massively scalable infrastructure, AI, and blockchain from leadership roles at leading companies and universities like Google, Microsoft, Facebook, Stanford, and MIT. We're backed by the world's leading VCs and institutions, including: Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab, among others. The Role Build out our data team - data engineering and data science. Grow and manage a team composed of data engineers and data scientists Partner with product teams and business leaders across Alchemy to identify the highest leverage projects and decisions that we want to root in data. Lead the team to develop and implement data pipelines and data analyses so we get real-time business insights into all our business lines. Evangelize the use of data and AI across Alchemy, show everyone what is possible, in particular in the area of market intelligence. Build tooling so most questions can be answered in a self-serve manner. Build expertise with on-chain data sources, and solve some of the unique challenges that the industry faces in being able to observe trends across all chains in real-time. What you'll do: Grow and manage a team composed of data engineers and data scientists Partner with product teams and business leaders across Alchemy to identify the highest leverage projects and decisions that we want to root in data. Lead the team to develop and implement data pipelines and data analyses so we get real-time business insights into all our business lines. Evangelize the use of data and AI across Alchemy, show everyone what is possible, in particular in the area of market intelligence. Build tooling so most questions can be answered in a self-serve manner. Build expertise with on-chain data sources, and solve some of the unique challenges that the industry faces in being able to observe trends across all chains in real-time. What we're looking for: 7+ years of experience in data engineering, data science, or related domains, and 3+ years of management experience Deep expertise in data pipelines, data science and data tooling Experience using AI tools Excellent communicator and are comfortable discussing complex technical concepts with engineers and partners at any level Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks Experience working with startups Prefer experience with AWS, Snowflake, DBT, and Apache Superset Prefer experience working in Web3 Able to work Hybrid in SF or NYC only More on The Role Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off. The base salary range for this position is estimated to be between $135,000 - $275,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.

Meter's mission and long term ambition Meter builds better internet infrastructure. We make it exceptionally easy for any business to have great computer networking, internet, and Wi-Fi. Businesses of all sizes and industries increasingly rely on internet infrastructure for daily operations, yet getting connected today is incredibly difficult. To solve this problem, Meter builds and manages a vertically integrated solution across hardware, software, and operations. We believe people who build hardware and software should be the ones responsible for it. Our ambition is to evolve internet infrastructure into a utility. To turn internet infrastructure into a utility, we need to add intelligence to its performance, availability, and security layers. Our team has built Command , a generative UI product driven by a custom model, with many more model-driven initiatives described at meter.ai . We have the team, compute, and roadmap to execute on this. To create the best models possible, we need to continuously iterate on our model evaluations and training data This role is critical to Meter's success We are hiring a data scientist to assist in building and evaluating models. Your day-to-day responsibilities will be manifold – from working with our AI research team to perform analyses on training data, to writing evaluation examples based on customer use cases. There will be a lot of scripting to create analyses and data pipelines informed by interactions with end-users of our AI products. The right candidate will be able to leverage their expertise in data science and programming languages such as Python, JavaScript, or an equivalent to construct data pipelines. You will have an impact by Writing analysis scripts that correlate training data to model performance measured by benchmarks you define Creating pipelines that create, curate, and edit training and evaluation data for Meter’s AI products Conducting user interviews to understand and simulate user behavior, and to provide benchmarking data for Meter’s AI products Learning Meter’s dashboard and technical architecture Learn more about how we operate and some of our work What is Meter? Meter: the internet utility by Packy McCormick How we operate Vertical integration in practice Compensation We think about Meter's compensation package as a combination of salary, equity, benefits, and the experience of working with a talented team to make the biggest impact of your career.  The estimated pay range for this role is $145,000 - $185,000.  Additionally, this role is eligible to participate in Meter's equity plan. The salary range represents the low and high end of the salary range for this job in the Bay Area. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience. Benefits Medical, dental & vision insurance coverage for you and your dependents Annual memberships to One Medical, Headspace and Rightway 401k (traditional and Roth options available) Flexible time off (FTO) Commuter reimbursement Parental Leave In-house chef and onsite meals (San Francisco Office)

Job Description: The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services. Responsibilities: Set up R Studio Workbench, Connect, and Package Manager on a Linux server. Manage libraries and versions. Write required security plan. Work with security to connect the server to Snowflake and other data sources. Provision server access to data scientists, including R Studio Server, sftp, and command line. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny. Guide data scientists on how to use version control with GIT/Azure Devops. Resource must have at least three (3) years of experience in providing services as listed

Meter's mission and long term ambition Meter builds better internet infrastructure. We make it exceptionally easy for any business to have great computer networking, internet, and Wi-Fi. Businesses of all sizes and industries increasingly rely on internet infrastructure for daily operations, yet getting connected today is incredibly difficult. To solve this problem, Meter builds and manages a vertically integrated solution across hardware, software, and operations. We believe people who build hardware and software should be the ones responsible for it. Our ambition is to evolve internet infrastructure into a utility. To turn internet infrastructure into a utility, we need to add intelligence to its performance, availability, and security layers. Our team has built Command, a generative UI product driven by a custom model, with many more model-driven initiatives described at meter.ai. We have the team, compute, and roadmap to execute on this. To create the best models possible, we need to continuously iterate on our model evaluations and training data This role is critical to Meter's success We are hiring a data scientist to assist in building and evaluating models. Your day-to-day responsibilities will be manifold - from working with our AI research team to perform analyses on training data, to writing evaluation examples based on customer use cases. There will be a lot of scripting to create analyses and data pipelines informed by interactions with end-users of our AI products. The right candidate will be able to leverage their expertise in data science and programming languages such as Python, JavaScript, or an equivalent to construct data pipelines. You will have an impact by Writing analysis scripts that correlate training data to model performance measured by benchmarks you define Creating pipelines that create, curate, and edit training and evaluation data for Meter's AI products Conducting user interviews to understand and simulate user behavior, and to provide benchmarking data for Meter's AI products Learning Meter's dashboard and technical architecture Learn more about how we operate and some of our work What is Meter? Meter: the internet utility by Packy McCormick How we operate Vertical integration in practice Compensation We think about Meter's compensation package as a combination of salary, equity, benefits, and the experience of working with a talented team to make the biggest impact of your career. The estimated pay range for this role is $145,000 - $185,000. Additionally, this role is eligible to participate in Meter's equity plan. The salary range represents the low and high end of the salary range for this job in the Bay Area. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience. Benefits Medical, dental & vision insurance coverage for you and your dependents Annual memberships to One Medical, Headspace and Wellhub 401k (traditional and Roth options available) Flexible time off (FTO) Commuter reimbursement Parental Leave In-house chef and onsite meals (San Francisco Office)

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. We are looking to hire an Associate Data Science Product Manager to join our Deregulated Energy industry group on our marketplace business. This product team is responsible for transforming our sales center, digital buy flows, and our business operations through applications in AI & ML. This group focuses on both building the underlying technology and applying the applications to the business opportunities to create value. Example projects include building agentic workflows for site personalization and real-time technology, powered by generative AI, to assist our sales professionals. In this role, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. As an Associate, you will be-hands on technical, both in leveraging the AI/ML solutions to drive value and in assisting in point solutions that augment the product you’re working on. We are looking for 1+ years of hands-on data science / advanced analytics experience or a masters degree in related fields. This is a hybrid position located in our South Charlotte or NYC office. What You'll Do Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases LLM workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who You Are Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.  Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, and explain technical concepts to non-technical stakeholders. What We're Looking For Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT4). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Compensation Cash Compensation Range: *$95,000-120,000  *Note actual salary is based on geographic location, qualifications, and experience.  Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Who We Are Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com .  If you are based in California, we encourage you to read this important information for California residents linked here . #LI-KS1 #LI-TL1 Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

The Core Data Science team owns a suite of products that provide actionable insights to the on-vehicle software teams. In particular, our scenario search tools are used by teams developing and validating Zoox’s on-vehicle AI stack to estimate and analyze event rates at scale, enabling the launch of an autonomous mobility service. Our team also works closely with dedicated Data Science teams to develop key driving behavior metrics and direct new feature development, using large scale data from our autonomous driving fleet and simulations. You are a good fit for our team if you are a software engineer with a propensity for big data analysis, or a data engineer / scientist with an understanding of and enthusiasm for sound software engineering practices. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to a uniquely valuable data set in the autonomous vehicle industry. In this role, you will: Collaborate with our software and systems engineering teams to build and support core scenario search capabilities for Zoox Work alongside our data engineering and data science teams to develop and use robust large scale data solutions Identify key areas of investment for our vehicle software teams Establish best practices and processes around data-driven decision-making Qualifications Extensive experience with large-scale data processing frameworks, with preference for Spark or Hadoop Software development experience in a production environment, with preference for Scala, Python, or Java; or demonstrated experience learning new programming languages Familiarity with any version control system, with preference for GitExperience designing metrics and building mechanisms that deliver robust, actionable insights Good communication and collaboration skills Bonus Qualifications Experience training and deploying ML models to large scale production use cases Basic familiarity with C++ Experience with geospatial data analysisFamiliarity with or exposure to experimentation platforms Basic familiarity with any autonomous vehicle competency, e.g. perception, localization, prediction, planning, or controls Compensation: There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $192,000 to $273,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

About Us: Culture's mission is to simplify and accelerate bioprocess development to enable our customers to bring their biopharmaceutical products to market faster. With a focus on upstream cell culture process development, Culture has developed a unique platform that merges products, services and data management that can be applied to mammalian, microbial and viral vector production processes. This platform enables high-throughput process development projects to be rapidly and seamlessly executed directly by our customers in their own facilities, in our service laboratories, or both, all driven by our cloud-connected web application, accessible from anywhere, for designing, managing and analyzing experiments. At Culture, we combine our passions for biomanufacturing, engineering, and operations to build new solutions that make bioprocess development faster. We value curiosity, communication, collaboration, a customer focused mindset and a drive for results. The Opportunity: We are seeking a Digital Product Leader, Data Science to lead the definition, development, and go-to-market strategy for our digital transformation and data science products within the bioprocessing domain. This is a strategic leadership role where you will be responsible for shaping our data science strategy and delivering impactful data-driven solutions. What you'll do: Positioning data science as a core driver of business growth and innovation by developing and executing a comprehensive data science strategy aligned with the company's overall business objectives. Standing up ML/data science & customer analytics capabilities; meeting biopharma customer needs, steer the direction of technology advancement & AI/ML tooling decisions within the company itself Identifying opportunities to leverage data science and Al to address critical challenges in bioprocessing, such as process optimization, quality control, and predictive analysis. Translating market insights and customer feedback into well-defined product requirements and roadmaps. Collaborating closely with data scientists, engineers, and bioprocessing domain experts to ensure successful development and deployment of data products. Collaborating with marketing and sales teams and communicate the value proposition of our data product offerings to potential customers. About you: 6+ years of experience as a technology lead or product lead, with a strong focus on datascience, Al/ML, or analytics products. Biopharma experience, a must Data architecture & cloud experience, AWS ideally - Multi cloud experience is a plus, especially GCP Ability to work with customer teams, both technical and non-technical Proactive problem solver excited about the opportunity to build something from the ground up Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. A Master's degree in a relevant field such as Bioinformatics, Bioengineering, Computer Science, Data Science, or a related field. Advanced degree (PhD) in a relevant field is a plus. Location & Schedule: This is a hybrid position. We're looking for someone based in the San Francisco Bay Area who is able to work in person at our office in South San Francisco at least 2-3 days per week. Base Salary Range: Culture Biosciences's compensation package includes market competitive salary, equity for all full time roles, and great benefits. Our expected salary range for this role is $250,000 - $275,000. Final offer may vary within the range provided based on experience, expertise, and other factors. Benefits: Competitive salary and equity compensation Medical, Dental, Vision, and Life insurance Medical and Dependent Care FSA (prorated based on start-date) 401(k) plan with company match Responsible Time Off (non-accrual based) policy, 10 paid company holidays and a week-long winter break 12 weeks of parental leave at full salary Culture Biosciences provides equal employment opportunities to all employees and applicants. We seek to build a company that promotes inclusion and expands the diversity of our industry as a whole. We encourage people with identities underrepresented in biotech and technology to apply.

About the Team At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. About the Role We are looking for an experienced Algorithms Team Manager to lead a group of talented machine learning engineers, and data scientists. In this role, you will shape the future of fashion technology by driving the development and deployment of our styling algorithms that empower our human stylists to delight clients by nailing their fit and style. You're excited about this opportunity because you will… Directly shape product strategy: Leverage data-driven insights to influence Stitch Fix's broader business and enhance the client experience. Drive measurable business impact: Utilize data science to improve client engagement, personalization, and overall growth. Lead a team building transformative capabilities at the heart of our company's value proposition. Drive the development and optimization of style recommendation algorithms, ensuring they provide personalized, relevant, and engaging fashion recommendations. Collaborate with product managers, data scientists, UX/UI designers, and business leaders to define key performance metrics and product goals. Oversee the end-to-end algorithm development lifecycle-from ideation and experimentation to testing and deployment. Manage the prioritization and execution of key algorithmic projects while balancing business needs, technical feasibility, and timelines. Implement best practices for team collaboration, code quality, and data management. Stay up-to-date with the latest trends and advancements in AI, machine learning, and fashion technology. Provide continuous feedback and foster a growth-oriented culture within the team. Establish a clear vision and roadmap for the development of styling algorithms and continuously drive improvements based on data-driven insights. We're excited about you because… Excel at building trust with your team, stakeholders, and technical partners Have excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences, And know how to achieve alignment without resorting to micromanagement. Have a strong background in machine learning, data science, and algorithm design, preferably in areas related to fashion, recommendations, or personalization (5+ years of experience, with at least 2 years in a leadership/management role). Have experience with A/B testing, experimentation frameworks, and performance metrics. Are familiar with cloud-based infrastructure and distributed systems. Why you'll love working at Stitch Fix... We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix. We cultivate a community of diverse perspectives- all voices are heard and valued. We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships. We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact. We offer comprehensive compensation packages and inclusive health and wellness benefits.

ROLE SUMMARY Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, GCA's rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, market research, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patients' lives and the future of Pfizer as a data-driven organization. The Senior Manager, Data Science role is accountable for delivering data science-driven strategic and tactical support across the commercial business. As a strategic partner to the US Commercial teams, this person will develop and implement models and data science-derived insights that drive brands' strategic priorities. This will include driving the execution and interpretation of AI/ML models, framing problems, and shaping solutions. Also, this person will help shape the brands' strategies and tactics by interfacing closely with Data Science COEs to develop bespoke AI/ML models to meet evolving needs and with omnichannel operations to drive execution. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. ROLE RESPONSIBILITIES Role definition and key accountabilities include, but are not limited to: Commercial Data Science and Insights Provide data science and insights to US Commercial teams to drive brand tactic decisions. Act as a strategic partner to frame, investigate, and translate complex data-related models, and answer key business questions related to the identification and evaluation of Commercial and brand strategies and tactics. Partner with Sales and Marketing Leadership to support sales force execution. Integrate DS capabilities with commercial decision-making processes, explain complex models, translate observations into actionable insights, and find business impact. Guide stakeholders via compelling and persuasive storytelling. Strengthen the Brand and Sales teams' understanding of marketplace performance and opportunities by analyzing the impacts of brand strategies and tactics and partnering on data product solutions. Utilize data-driven insights to identify new opportunities and optimize existing strategies, supporting commercial strategy and opportunity creation. Deliver strategic and tactical support for multiple US brands as needed, acting as a subject matter expert. Collaboration with other GCA and Analytics teams Partner with GCA Integrated Insights & Strategy leads to incorporate data science capabilities and insights into analytics plans and recommendations Collaborate with Data Science Solutions teams Partner with Data Science COE to develop bespoke AI and machine learning models; configure pre-built models and interpret updated results Ensure alignment with Data Science COEs teams to ensure cohesive activities with stakeholders Mentor and develop junior data scientists, fostering a culture of continuous learning and innovation PROFESSIONAL CHARACTERISTICS Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how GCA can provide value to the organization Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork Project Manager: Articulates scope and deliverables of projects and delivers analyses within timelines Self-Starter: Eager to take on new responsibilities and opportunities Technical Skills Fluent in English (written and spoken) Experience with machine learning technology and big data stack, such as: Python and its package ecosystem including pandas, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch; SQL; cloud ML platforms; LLM applications; and data visualization techniques Strong MS Excel and PowerPoint skills Experience in understanding brand content, strategy, and tactics Ability to effectively utilize dashboards and data products to derive insights Understands quantitative and qualitative research methodologies Experience in management of secondary data with application of real-world data Ability to connect, integrate, and synthesize data and analysis into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business questions Education and Experience Bachelor's degree required, ideally in a quantitative field such as Physics, Engineering, Mathematics, Statistics, Economics, Data Science, Operations Research, Computer Science, etc. 6+ years of work experience 4+ years experience in business analytics function, country strategy and/or strategic consulting Proven track record of leveraging data science to address strategic business challenges Experience using data science models to solve problems in a business environment setting Experience leading cross-functional projects and managing stakeholder relationships at senior levels. Experience with machine learning technology and big data stack, such as: Python, SQL, cloud ML platforms, LLM applications, and data visualization techniques Experience in understanding brand content, strategy, and tactics Understands quantitative and qualitative research methodologies Experience in management of secondary data with application of real-world data Proven ability to partner with cross-functional teams (Commercial, Insights, Operations) to execute brand tactics Proven ability to connect, integrate, and synthesize data and analysis into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business questions Ability to be flexible, prioritize multiple demands and deal with ambiguity Fluent in English (written and spoken) PREFERRED QUALIFICATIONS Advanced degree preferred in a quantitative field such as Physics, Engineering, Mathematics, Statistics, Economics, Data Science, Operations Research, Computer Science, etc. Experience in Life Sciences Industry Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Other Job Details: Work location: Flexible; 2-3 days onsite/week Last Day to Apply: April 30, 2025 The annual base salary for this position ranges from $120,800.00 to $201,400.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Marketing and Market Research

Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Data Science Intern (Summer 2025) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. An internship is a temporary position within Solventum. Interns typically work a full-time schedule throughout a 10-12 week assignment during summer of 2025. This position is limited to working 899 hours per service credit year. Applications on this requisition are reviewed and filled on a rolling basis; it is in a candidate's best interest to apply as soon as possible. Interested candidates should include a resume as part of their application. The Impact You'll Make in this Role As a Data Science Intern, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Leveraging expertise to develop and contribute to data visualization and data science efforts in support of new product development and sustaining innovation for physical products in the healthcare arena Building and deploying machine learning models to accelerate R&D and related business decision making Integrating machine learning into simulation-based models from a variety of scientific and engineering disciplines Collaborating with R&D teams in central research and in business labs to build capabilities and applications to solve emerging challenges in healthcare Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Currently pursuing a doctoral degree from an accredited institution in a physical science, biological science, or engineering discipline with a focus on data science or machine learning. Additional qualifications that could help you succeed even further in this role include: Experience scripting (R, Python, Golang, shell) Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns Experience with application of data science methodologies to healthcare related applications Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available Leadership qualities such as excellent communication skills (oral, written and presentation), networking skills, self-motivation, and self-direction. Work location: Hybrid: Location Maplewood, MN 2-3 days/weeks Relocation: not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Applicable to US Applicants Only: The expected compensation range for this position is $44.00 - $46.00 per hour, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.)after 90 days employment. Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards Applicable to US Applicants Only:The expected compensation range for this position is - , which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

Title: Data Science and Analytics Location: New York City Duration: 3 months to perm Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements • Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About the Role : The Senior Manager, Data Science is responsible for managing new product development by proposing data-driven solutions for complex customer challenges. They will manage and execute entire projects, collaborating with data scientists and engineers to design innovative AI solutions. This role involves leading AI and machine learning model development, analyzing extensive datasets, and guiding team members. Responsibilities : Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions Lead the development of AI and machine learning models to solve business problems Research, build, and deploy models based on shallow and deep machine learning Train robust NLP-based models on large datasets Collaborate with cross-functional teams to align AI solutions with business goals and customer needs Design APIs for disseminating data science outputs Oversee the scaling of production systems to meet growing demands Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We encourage candidates from all backgrounds to apply. If you need accommodations, please let us know. LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120. Please read our Candidate Privacy Policy .

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. ** About Us : LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. Nexis Solutions, a division of LexisNexis, is seeking a Data Scientist who will focus on search and be dedicated to the creation of next-generation search relevance techniques and strategies for LexisNexis, dramatically improving how our users search and find the answers to their research questions. This role should be able demonstrate versatility, collaborate across teams, and be enthusiastic in tackling new problems as we continue to push technology forward. About the Role : As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : · Leading the development of advanced AI and machine learning models to solve complex business problems · Working closely with other data scientists and engineers to design, develop, and deploy AI solutions · Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs · Analyzing large datasets to identify patterns and trends that can inform AI development · Communicating findings and insights to stakeholders in a clear and concise manner · Staying current with the latest AI and machine learning trends and technologies · Mentoring junior data scientists and provide guidance on AI and machine learning best practices · Driving best practices across our data science functions · Setting strategy and team direction, with a clear vision for Data Science · Working with product leaders to apply data science solutions. · Evaluating and creating new frameworks and defining methodologies and governance · Leading small- to medium-sized teams (direct or indirect) · Setting a high-bar for model development Requirements : · Have substantial experience in a senior data scientist role · Have experience in leading complex projects and customer relationships · Have significant experience in managing larger Technical teams (direct or indirect) · Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues · Be a natural problem solver, able to take a lead in collaborating to resolve issues · Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience : · PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field · 7-10+ years of experience in AI and machine learning · Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests · Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. · Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. · Experience with reinforcement learning, prompt engineering, hallucination mitigation · Working understanding of the business risks associated with applying LLM in a business · Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) · Strong coding skills in Python or another programming language · Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders · Strong problem-solving skills and the ability to think outside the box Work in a way that works for you : We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us : LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you: We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: - Comprehensive, multi-carrier health plan benefits - Disability insurance - Dependent care and commuter spending accounts - Life and accident insurance - Retirement benefits (salary investment plan/employer stock purchase plan) - Modern family benefits, including adoption and surrogacy About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120. Please read our Candidate Privacy Policy .

Sony Pictures Entertainment (SPE) is a subsidiary of Tokyo-based Sony Corporation. SPE's global operations encompass motion picture production, acquisition, and distribution; television production, acquisition, and distribution; television networks; digital content creation and distribution; operation of studio facilities; and development of new entertainment products, services and technologies. SPE’s Motion Picture Group production organizations include Columbia Pictures, Sony Pictures Animation, Screen Gems, TriStar Pictures, 3000 Pictures, Stage 6 Films, AFFIRM Films, and Sony Pictures Classics. Sony Pictures Television (SPT) operates three complementary lines of business: 1) Distribution of SPE's feature films and television programming to television outlets around the world, 2) Local television production in key international markets, 3) International television networks and digital networks. For additional information, visit http://www.sonypictures.com/corp/divisions.html . GENERAL SUMMARY The Financial Analyst plays a critical role in supporting financial reporting, analysis, and strategic decision-making. This includes, but is not limited to, planning and preparing budgets, forecasts, and long-term financial plans, conducting ad-hoc financial analyses, and providing accurate and data-driven insights to support the management team. We are seeking a highly analytical FP&A professional with a strong background in data science, adept at leveraging advanced analytical tools such as Power BI, and Excel to enhance financial modeling, reporting, and business intelligence. The ideal candidate possesses problem-solving skills, a keen attention to detail, and the ability to translate complex data into actionable insights that drive business performance. The Financial Analyst reports to the Director and collaborates with all levels of the SPT management team, both at the home office and across territories, as well as with SPE Corporate Finance. RESPONSIBILITIES Financial Reporting & Analysis (80%) Conduct financial analysis for the SPT group and various business initiatives Assist with special projects and ad hoc management reporting Analyze financial and operational data to identify trends, risks, and opportunities that drive business performance Design and implement interactive data dashboards using advanced visualization tools like Tableau, Power BI Collaborate with business units to assess the financial impact of strategic decisions and optimize resource allocation Automate data collection, transformation, and reporting processes to enhance efficiency and reduce manual effort Prepare monthly variance analysis comparing actuals to budget/forecast for key management reports Support the accounting department during the month-end close process by explaining variances Budget & Forecasting (20%) Prepare monthly flash forecasts, quarterly forecasts, annual budgets, and mid-range plans, ensuring all required corporate submissions are completed accurately and on time Leverage advanced data analytics and statistical modeling to enhance financial forecasting, scenario planning, and decision-making Coordinate with local offices to manage budget and forecast submissions and respond to requests Develop forecasts for monthly Home Office Flash reports Assist in preparing presentations for Budget and Mid-Range Plan (MRP) meetings KNOWLEDGE/SKILLS/ABILITIES Experience of 1+ years in Finance, Accounting, Economics or Data Science experience is required Industry experience in cable, network or digital platforms, advertising sales or television is preferred with international experience also is a plus Fluency in English (required); Fluency in Spanish (preferred) Proficiency in financial modeling and data analysis tools (Excel, PowerPoint, VBA, PowerBI, Tableau etc.) SAP financial system experience is preferred Strong analytical and problem-solving skills, with the ability to interpret complex financial data Excellent communication, presentation and strong leadership skills are essential to this individual’s success Effective prioritization skills and time management are essential, as well as the ability to multi-task Ability to make commitments and meet deadlines Proactive, self-starter and independent thinker Team player with strong interpersonal skills who can work well with all levels of employees and is comfortable/experienced working in a multicultural environment The ideal candidate will have a mix of financial and accounting experience, including financial reporting, budgeting, forecasting, and planning Knowledge of financial statement preparation and variance analysis, and experience in budget and forecast preparation EDUCATION Bachelor’s degree with a focus on Accounting, Finance, Economics, Engineering is required. #LI-DA1 Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

DS position on a team in C323 supporting a project that leverages advanced AI techniques, including natural language processing, computer vision, and machine learning. The project streamlines the analysis of engineering documents, performs comprehensive system decomposition, and identifies potential vulnerabilities. The framework provides a holistic approach to understanding, managing, mitigating cybersecurity risks, but integrating mission and system decomposition, software bill of materials analysis, and enriching vulnerability discovery capabilities.

As one of Europe's fastest-growing unicorns, we revolutionize eCommerce globally. Through strategic acquisitions and mergers, scaling initiatives, and cutting-edge technology, we're one of the top players in the industry. Following our acquisition of Perch - one of the leading US aggregators - a successful Series D funding round led by Presight Captial in 2024, and additional fundings in 2024 and 2025 we’re aimed toward the next consolidation and a $1 billion top-line business! Your Role Razor Group is seeking a highly driven and analytical leader to join our team as the owne r and Vice President of the Decision Engine, managing the optimization and automation of pricing, advertising, demand planning, and inventory management . This is a unique opportunity to have a massive impact at a rapidly growing company by directly influencing the profitability and growth of our portfolio of brands. You will build and lead a talented team in developing and implementing the core algorithmic logic that powers our automated decision-making engine, optimizing pricing and advertising strategies for thousands of consumer products. This role offers a high degree of ownership, autonomy, and the chance to shape the future of e-commerce. Our Decision Engine is the technological backbone of Razor's success. It's a sophisticated system that leverages advanced algorithms and machine learning to automate and optimize key business levers, including pricing, advertising, and inventory management. By analyzing vast amounts of data, the Decision Engine identifies opportunities to maximize profitability and drive growth across our portfolio of brands. To succeed in this role you: Strategic Leadership: Own the vision, strategy, and roadmap for data science and automation at Razor. Collaborate with executive leadership to define key performance indicators (KPIs) and align algorithmic strategies with overall business objectives. Drive the strategic financial direction of the business through the implementation of innovative economic models and systems. Stay ahead of industry trends and emerging technologies in e-commerce, pricing optimization, and advertising to identify opportunities for continuous improvement. Lead the team in the presentation of findings, insights, and recommendations to executive leadership and investors. Algorithmic Development and Implementation: Lead the design, development, testing, and implementation of advanced algorithms for dynamic pricing, advertising bid optimization, and supply-side levers. Oversee the development and maintenance of data pipelines that feed the Decision Engine with timely market data, competitor insights , and internal performance metrics. Lead the data science team in the development of predictive models that forecast demand, price elasticity, and the impact of advertising campaigns. Work closely with engineering and product leaders to advance the capability of the Decision Engine platform. Proactively identify opportunities for improvement in algorithmic performance and implement solutions to maximize profitability and efficiency. Team Management and Development: Recruit, manage, mentor, and develop a team of experienced data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning. Hire and onboard new team members, ensuring that the team has the necessary skills and expertise to achieve its objectives. Provide guidance and support to team members on technical challenges, career development, and performance management. Effectively delegate responsibilities and empower team members to take ownership of their functions. Cross-Functional Collaboration: Work closely with internal stakeholders across various departments, including brand management, marketing, supply chain, and finance, to ensure alignment and effective implementation of algorithmic strategies. Build strong relationships with external partners, including advertising platforms (e.g., Amazon, Google, Facebook) and data providers, to leverage their capabilities and insights. Communicate effectively with both technical and non-technical audiences, translating complex technical concepts into clear and actionable insights. Your Profile To succeed in this role you: Education : Hold a Bachelor's degree in Computer Science , Engineering, Statistics, Mathematics, Operations Research, or a related quantitative field from a top-tier university. Experience: Demonstrate 10+ years of relevant experience in data science, algorithmic development, or quantitative modeling, with a proven track record of building and deploying successful automated quantitative algorithms with multi-year roadmaps Hold 6+ years of experience managing and mentoring high-performing teams of diverse skillsets and experience Bring experience in e-commerce, consumer products, or retail industries is required Technical Skills: Apply high proficiency in Python and SQL, with experience developing and deploying production-level pipelines at scale Understand strong understanding of statistical modeling, machine learning algorithms, and optimization techniques Leverage experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data technologies Hold experience working with large datasets and building scalable data pipelines Implement experience with A/B testing and experimentation methodologies Leadership and Communication Skills: Exhibit exceptional analytical and problem-solving skills Show strong leadership abilities with a demonstrated ability to inspire and motivate a team Convey excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences Maintain self-motivation, proactivity, and results-orientation with a strong sense of ownership and accountability Mindset: Thrive in a fast-paced, dynamic, and entrepreneurial environment Hold passion for leveraging data and technology to drive business impact Display strong business acumen and strategic thinking abilities About Razor Group We are revolutionizing the e-commerce world, reaching over $1 billion in value and over $700 million in revenue, with the backing of top investors like Black Rock, VPC, and Fortress, Apollo, 468 Capital, Rocket Internet. Along with Perch and our previous acquisitions of Factory14 in Spain, Valoreo in Latin America, and our German competitor Stryze, we now operate a catalogue of over 40,000 products across 3 continents and 10+ countries. Headquartered in Berlin, we are also present in Austin, Boston, Delhi NCR, Hangzhou, and Mexico City!

BillionToOne is a next-generation molecular diagnostics company dedicated to developing powerful and accurate diagnostic tests that are accessible to all. Our innovative QCT molecular counting technology significantly enhances the resolution of disease detection using cell-free DNA by over a thousandfold. This groundbreaking technology is integral to our product offerings, including one of our flagship products, Unity Complete™ , the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Leveraging the same molecular counting technology, we've expanded our impact into oncology in 2023 with a pioneering liquid biopsy test, Northstar, that combines treatment selection with monitoring. To date, over 1,000,000 patients have benefited from our innovative and precise diagnostic tests , and our Annual Recurring Revenue (ARR) has grown from $0 to $125 million in the last ~4 years. BillionToOne has successfully raised close to $400 million in funding, with a notable $130 million Series D round completed in June 2024, resulting in a company valuation of over $1 billion. This funding has come from prestigious global institutional investors, including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest. BillionToOne has recently been recognized by Forbes as one of America's Best Startup Employers for 2024 , highlighting the company's exceptional work environment and commitment to innovation. Our team has grown significantly and we now proudly employ over 500 highly skilled individuals. Despite substantial growth, we have successfully maintained the unique culture that has defined BillionToOne from inception, continuing to cultivate a team that is not only diverse and passionate but also innovative. Headquartered in Menlo Park, California, with an additional facility in Union City, California, BillionToOne remains at the forefront of significant advances in molecular diagnostics, evidenced by the recent announcement of clinical outcomes data for its Unity Fetal Risk Screen and new advancements in cancer diagnostics. For more detailed information about BillionToOne and its groundbreaking work, please visit our website at www.billiontoone.com . BillionToOne is seeking an Associate Director/Director, Data Science to lead and scale our data science function. In this role, you will drive the development of advanced analytical frameworks and machine learning models that enhance our genetic testing products. You will lead a team of data scientists and analysts, partnering cross-functionally with bioinformatics, engineering, product, marketing, and commercial teams to deliver data-driven strategies that fuel innovation and business growth. This role requires a unique blend of technical expertise, strategic vision, and leadership ability. The ideal candidate has a PhD or Master’s in a relevant field, deep experience with statistical modeling and machine learning, and a proven track record of managing high-performing technical teams in a fast-paced environment. Key Responsibilities: Strategic Leadership : Define and execute the data science roadmap to support BillionToOne’s product development, commercial growth, and operational efficiency. Team Development : Build, mentor, and lead a team of data scientists and analysts, fostering a high-performance, collaborative culture. Advanced Analytics & Modeling : Develop and implement machine learning models and statistical frameworks to analyze genetic data and drive actionable insights. Cross-Functional Collaboration : Partner with bioinformatics, product, engineering, marketing, finance, and operations teams to inform strategic decisions and optimize business outcomes. Data Infrastructure & Optimization : Ensure efficient data retrieval, transformation, and integration across diverse sources (SQL, JSON, CSV, etc.), leveraging best practices in data engineering and automation. Business Impact & Decision Support : Leverage data to inform key business metrics (revenue, profitability, customer acquisition, lifetime value) and develop models to optimize pricing, customer retention, and operational efficiencies. Scalability & Innovation : Drive the adoption of emerging data science methodologies and tools to enhance BillionToOne’s competitive advantage in genetic testing. Stakeholder Communication : Translate complex analytical findings into actionable business insights for both technical and non-technical audiences, including executive leadership. Stay current with the latest research and advancements in commercial analytics, data science and genetic testing. Basic Requirements: Master’s or PhD in Computer Science, Statistics, Bioinformatics, Mathematics, or a related quantitative field. 10+ years of experience in data science, analytics, or machine learning, with at least 5+ years in a leadership role. Deep expertise in R or Python for data analysis, modeling, and machine learning. Strong SQL skills for data extraction, transformation, and management. Experience working with diverse data formats (SQL, JSON, CSV, XLSX) and integrating data from multiple sources. Strong understanding of business fundamentals, including revenue, profit, customer acquisition cost, and lifetime value. Proven ability to lead teams, mentor talent, and drive data-driven business impact. Exceptional problem-solving and critical-thinking skills with attention to detail. Effective communication and stakeholder management skills, with the ability to present complex data insights and strategies to executive leadership. Nice-To-Haves: Experience in a high-growth, startup, or biotech/healthcare environment. Exposure to cloud-based data platforms and infrastructure (AWS). Knowledge of bioinformatics, genetics, or healthcare analytics. Familiarity with data visualization tools (Tableau, Power BI, etc.). Experience with high growth and developing sales and marketing organizations. Skills and Competencies: Excellent problem-solving and analytical skills. Strong leadership and team management capabilities. Ability to work independently and manage multiple projects simultaneously. Effective communication skills, with the ability to convey complex data insights to non-technical stakeholders. Detail-oriented with a commitment to producing high-quality, accurate work. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities. Benefits And Perks: Working with a team of ‘rockstars’ who bring out the best in everyone Open, transparent culture that includes weekly Town Hall meetings The ability to indirectly or directly change the lives of hundreds of thousand patients Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered at 80% Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%) Retirement savings program including a 4% Company match Free daily on-site lunches provided from top eateries Latest and greatest hardware (laptop, lab equipment, facilities) A variety of perks on campus (state of the art gym, restaurant) Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.). For this position, we offer a total compensation package of up to $399,750 per year, including a base pay range of $200,000 - $250,000 per year. BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For more information about how we protect your information, we encourage you to review our Privacy Policy .

Join a Legacy of Innovation 125 Years and Counting! Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. We are currently seeking a Data and Statistical Science for Evidence Generation Intern for 6 months (June – December 2025). This full time position works for approximately 37.5 hours per week. Responsibilities: 1. Implementing and executing innovative analyses, under supervision. 2. Developing and giving educational presentations for medical colleagues on methodology. 3. Sharing methodology and results with DSS-EG. 4. Developing expertise within programming team or creation of specs for programming to implement advanced causal methodologies. Education/Experience: Pursuing master’s degree PhD Preferred Qualified candidates must currently be enrolled in an accredited graduate program with a concentration in science or related field. Prior experience in a corporate business environment is preferred; experience in the pharmaceutical industry is a plus. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment 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.