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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 Rightway 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.

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.

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.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce. We are seeking a dynamic and experienced Data Science Growth Leader to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers. Key Responsibilities Business Development & Growth: Identify and pursue new business opportunities in the AI & ML space. Develop and execute strategies to expand our client base and market presence. Build and maintain strong relationships with key stakeholders and clients. Collaborate with sales and marketing teams to create compelling value propositions and proposals. Technical Leadership: Lead the design, development, and deployment of enterprise-level data science solutions. Ensure solutions are scalable, robust, and aligned with business objectives. Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings. Mentor and guide a team of data scientists and engineers to achieve project goals. Strategic Planning: Develop and implement a strategic roadmap for data science initiatives. Align data science projects with overall business strategy and client needs. Drive innovation and continuous improvement in data science methodologies and practices. Client Engagement: Work closely with clients to understand their business challenges and requirements. Translate client needs into actionable data science solutions. Present findings, insights, and recommendations to clients in a clear and compelling manner.

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 olus, 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 For onsite employees: Commuter benefits Access to on-site child care facility, subject to availability Free onsite breakfast, lunch, snacks, coffee, and gym 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.

Ryz Labs seeks a visionary and dynamic CEO to lead Streamoku , a company that enhances the deployment experience for Streamlit applications. The CEO will set strategic direction, manage operations, and drive growth. This role requires a leader with a strong background in technology platforms and a passion for streamlining data science workflows. Streamoku is a platform that simplifies the deployment and management of Streamlit applications, enabling data scientists and developers to easily host their apps. Key features include one-click deployment, flexible privacy options (public, unlisted, or password-protected), seamless scalability, and global content delivery. Qualifications: - Proven experience as a CEO or in a senior executive role within the technology sector. - Strong understanding of application deployment platforms and data science workflows. - Demonstrated ability to develop and execute strategic plans that drive growth and innovation. - Excellent leadership, communication, and interpersonal skills. - Strong financial acumen and experience in managing budgets and financial plans. - Ability to build consensus and relationships among executives, partners, and the workforce. - Understanding of corporate governance and compliance requirements. - Bachelor’s degree in business administration, technology, or a related field; MBA or equivalent advanced degree preferred. Key Responsibilities: - Strategic Leadership: Develop and implement business strategies aligned with Streamoku's mission to simplify Streamlit app deployment. - Operational Oversight: Oversee daily operations to ensure efficient and reliable service delivery. - Financial Management: Manage budgeting and financial performance to achieve sustainable growth. - Team Development: Lead and inspire a diverse team, fostering a culture of innovation and excellence. - Stakeholder Engagement: Build and maintain relationships with clients, partners, and investors. - Market Expansion: Identify and pursue opportunities for market expansion and user base growth. - Compliance and Governance: Ensure adherence to legal guidelines and uphold corporate integrity. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer. - Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated. - Ownership - step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect. - Frugality - being frugal and cost-conscious helps us do more with less. - Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. Status quo is not good enough and never should be.

Ekimetrics is a leader in data science and AI solutions provider. Since 2006, we have been using data science to optimize marketing and business performance and the transition to more sustainable performance. If you are driven by the desire to "crack" the most complex business questions using data and AI, and you want to be an actor in your professional future, your place is surely at Ekimetrics! At Ekimetrics, we aim to help our clients rethink their business model by reconciling economic, environmental and social performance, thanks to data science. In our New York office, we focus primarily on Marketing Analytics and the deployment of our ‘MMO’ offer (Marketing Mix Optimization), leveraging both our analytics-as-a-service expertise and our own data and AI platforms. Our 400 experts with varied profiles (business, data, technology) and the use of our technological assets guarantee fluidity between strategy and execution. The result is faster delivery times and a tangible business impact. 📊Key figures about Ekimetrics · 400+ data science experts globally · 1000+ diverse projects & 350+ clients · 4 offices: Paris, Hong Kong, London and NY · UK data company of the year 2023 · Voted Great Place to Work 2023 · Microsoft’s sustainability partner · Voted as a leader in “Marketing Measurement & Optimization” by Forrester wave 2023 About the Role This role is perfect for recent graduates with previous internships under their belt or people early on in their career journey. As a Junior Consultant you will work with international blue-chip clients across diverse industries. As both a data scientist and consultant, you will use and develop advanced data analytics and consulting skills on your projects. From day one, you will join a team of three to six consultants and collaborate on one to two projects simultaneously. You will have a hand in projects from discovery meetings to final recommendation; responsibilities include gathering and analyzing data, building statistical models, translating quantitative insights into strategic recommendations, and delivering the final results. The projects will push you to create innovative approaches as an owner and you’ll present your results directly to C-suite clients and business executives. Our close-knit team will guide your growth to build expertise on best-practice methodologies and industry knowledge, working directly with Ekimetrics partners. Each member of our team takes a vested interest in the development of your technical skills and business acumen. Our team members continuously learn and grow through 70+ proprietary training sessions and collaboration with colleagues as coaches and mentors. Finally, the opportunity to work for a growing, international pioneer in data science, will empower you to have an immediate impact by contributing to our passionate team. Responsibilities: 1. Data Analysis and Model Construction - Utilize advanced statistical techniques and best data practices to help the team progress through project work - Develop a logical story combining data and industry knowledge to share actionable insights that will drive our clients' businesses 2. Strategic Partnerships with Clients - Liaise daily with clients to develop a deep understanding of their business context and experience - Deliver findings and battle plans with excellence and confidence - Provide ad-hoc analyses that further develop projects and client relationships by parameterizing the business questions 3. Ekimetrics Life - Support our fast growth by contributing to local and global initiatives such as Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques for the office, etc. Qualifications: We are looking for a talented, dual-profile consultant. Data Skills - Bachelor’s or Master’s degree (or equivalent) in Business Analytics, Statistics, Economics, Engineering or other related field, or a data science bootcamp. - Outstanding record of academic achievement. - 0-2 years of experience in Data Analysis / Modeling / Advanced Analytics - Passion for data, statistics or applied mathematics - Familiarity with modeling / optimization techniques - Completed projects using advanced analytical methodologies and/or statistics to answer business questions - Experience with statistical software such as Python (preferred) or R. Consulting Skills - Consulting experience or interest in working as a consultant - Strong interest in marketing & business issues - Exceptional written and oral communication skills - Ability to work collaboratively in a team setting - Self-driven and motivated to thrive in a fast-paced environment - Continuously striving for high performance - Spanish-speaking is a plus What we offer: At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is $75,000. In addition to this base salary, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure. - An emphasis on work-life-balance and 20 PTO days per year and holidays - Dynamic environment with a strong culture and great offices - Close-knit team with friendly environment, bi-monthly team events and more - Creative and entrepreneurial start-up environment with vertical and lateral mobility - Best-in-class methodologies and cutting-edge technologies - Unique internal training package with 70+ sessions in our Eki.Academy digital platform - Growth to develop a double profile in data science and strategic consulting - Client exposure up to the executive level - Opportunities for international mobility across our three other offices in Paris, London, and Hong Kong Position Type: Permanent Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law. Please note that we do not offer visa sponsorship or transfer for this hire.

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.

Join PatientPoint to be part of a dynamic team committed to empower better health. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide. Location: Cincinnati, OH Hybrid Schedule: 3 days in office / 2 days at home weekly Job Summary: The Data Science Manager will lead a team of data scientists and machine learning engineers in delivering data-driven insights to support business decision-making. This role requires a combination of leadership, technical expertise, and strategic thinking to leverage advanced analytics tools and techniques, driving innovation and optimizing business outcomes. This is a hands-on role, and the willingness and ability to jump in and support the work is part of the job. What You'll Do Strategic Leadershi: Develop and implement the advanced analytics strategy to support organizational goals and strategic initiatives Partner with cross-functional teams (e.g., Sales, Pricing, Customer Experience, Finance, etc.) to identify analytics opportunities and translate business needs into actionable projects. Stay informed of emerging analytics trends, tools, and technologies to keep the organization at the forefront of innovation Team Leadership: Lead, mentor, and manage a team of data scientists and machine learning engineers, fostering a culture of continuous learning, innovation, and improvement Oversee resource allocation, prioritization, and project delivery to ensure high-quality outcomes within deadlines Support team members in developing their technical and professional skills Technical Expertise: Ensure the implementation of best practices in data science, including data cleaning, feature engineering, and model evaluation with a focus on creating scalable, automated solutions Oversee design, deployment and management of analytics platforms (i.e. Snowflake, HEX, Looker) Guide the team in using analytics tools such as Python and SQL, and visualization tools like Looker Manage and balance workload across the team members and support projects as needed Business Impact: Communicate complex analytical concepts and results to non-technical stakeholders in a clear and actionable manner Drive measurable business impact by identifying and implementing analytics solutions that enhance decision-making and efficiency Establish and track objectives and key results (OKRs) to evaluate the effectiveness of data science initiatives What We Need Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field 5+ years of experience in advanced analytics, data science roles 2+ years managing a team Proficiency in programming languages such as Python, R, or SAS Strong knowledge of statistical analysis, machine learning, and data visualization techniques Experience with cloud computing environments (e.g., Snowflake, GCP, AWS, Azure) Expertise with database systems and SQL for querying large datasets Desired Qualifications Master's or Ph.D. Degree Preferred What You'll Need to Succeed Proven ability to lead and inspire teams in a fast-paced environment. Strong project management skills, with a track record of delivering complex projects on time and within scope Exceptional communication and presentation skills, with the ability to influence stakeholders at all levels Strong ability to translate complex analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners #LI-ED1 #LI-Hybrid About PatientPoint: PatientPoint is a leading digital health company that connects patients, healthcare providers and life sciences companies with the right information in the moments care decisions are made. Our solutions are proven to influence patient behavior and improve health outcomes, driving value for all stakeholders. Across the nation's largest network of connected digital devices in 35,000 physician offices, PatientPoint solutions empower better health for more than 750 million patient visits each year. Latest News & Innovations: Named A Best Place to Work Across Multiple Prestigious Platforms! Read More Featured on Built In's article "Companies That Pay Well". Read More Now Culture Content Certified by VentureFizz. Read More What We Offer: We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates. PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

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.

** 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 .

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.