Head Of Data Science Jobs

Head of Data Science

From $12/yr

Position Summary: A privately held, growth-oriented conglomerate is seeking a seasoned Head of Data Science to lead its growth strategy and operational efforts through data analytics. The Head of Data Science is responsible for overseeing all of the companies in the conglomerate’s growth efforts to ensure best in class market positioning to drive operational outcomes by leveraging data to drive automation and strategy. This role guides all marketing functions, aligns compliance with business goals and drives our market positioning to ensure all decisions grow the brand while following rules and regulations of all applicable regulatory bodies. With a focus on enhancing business growth, efficiency, and client service across multiple related companies. The Head of Data Science works closely with operations, finance, and external vendors to ensure strong positioning in all processes. This role manages and coordinates the marketing pertaining to company’s subsidiaries in the region including but not limited to online lead generation, and multi-channel business development. The ideal candidate will bring a blend of technical expertise, operational leadership, and a proactive mindset. This role is for someone who can leverage data to build something truly novel, not just build dashboards but drive real operational insight and shape the future of the organization. Key Responsibilities: · Develop and oversee the Data Analytics for the Marketing Department and business at large, including setting structure, goals, and performance standards. · Lead the analytics strategy, planning, and execution for marketing offers by turning business problems into hypotheses, establishing KPIs, standardizing metric definitions, and aligning success metrics to create decision-ready insights. · Apply AI tools and automation to streamline analysis workflows, reduce cycle time, and accelerate insight delivery with consistent quality. · Execute digital strategies (AEO/SEO/SEM, social media, local listing management) to increase high-intent traffic. · Own the end-to-end data strategy, accountable for pipeline generation, operational strategy, and revenue contribution. · Act as a hands-on creative leader when needed—reviewing messaging, shaping campaigns, and guiding high-impact content execution · Build a scalable, high-performing data organization across all channels · Oversee multi-channel campaigns, digital engagement, and brand management to strengthen visibility across all company verticals and markets. · Leverage data, analytics, and market insights to optimize marketing investments and demonstrate ROI tied to growth objectives by creating measurable business outcomes. · Partner with leadership and key stakeholders to design and implement a forward-looking, organization-wide strategy that aligns marketing initiatives with the company’s mission, vision, and strategic plan, ensuring long-term sustainability, adaptability, and operational excellence. Qualifications: Required: · 8-12 years of progressive related data experience. · Must have a bachelor’s degree in Statistics or Related Field · Strong leadership, mentoring, and organizational skills. · Familiarity with the latest marketing tools and technologies · Highly analytical with strong understanding of attribution and performance metrics · Extensive data analytics skills- not just collating data but turning data into actionable insights Preferred: · Experience in Insurance operations preferably on the Agency or Insurtech side. · Experience building from 0-1 in fast paced companies or in start-up environments · Master’s degree in Statistics or Related Fields · 15+ Years of Progressive Experience. Key Competencies: · Strategic and operational leadership. · Strong legal, business, and financial acumen. · Analytical and problem-solving skills. · Ability to manage cross-functional teams. · High level of integrity and accountability. · High Degree of Confidentiality · Exceptional organizational and time-management skills. · Proven Ability to handle multiple complex projects with minimal guidance and meet tight deadlines. Working Conditions: · Office-based with standard business hours. · Occasional extended hours during contract negotiations or operational rollouts. · Limited travel required for vendor, carrier, or regulatory meetings. What we offer: · Competitive Base Salary \& Full Benefits Package. · Robust Bonus Plan. · High Visibility to Leadership. · Strong Opportunity for Growth and Advancement. · Ability to make a true impact and high autonomy to build your own solutions.

Head of Data Science

Short Facts Join us on our journey to build Europe's energy backbone: We at Flexa are building Europe's largest virtual power plant with currently above 100k assets signed up, aiming to breach the million in the near future. To optimize the value creation from both trading algorithms across markets and dispatching to the assets, we are looking for a forward-thinking and experienced Head of Data Science (d/f/m) who shares our vision and values. A pioneering Head of Data Science to lead and grow our Data Science team with innovation, foster talent and teamwork, and drive our offering's growth in alignment with and exceeding Flexa's strategic goals. Location: Munich, Germany Employment Type: Full-time Salary Range: € 140.000 - 200.000 + competitive ESOP package worth mid 6 figures as of today Working Mode: Office first Language Requirement: C1 Level English #### Your Responsibilities As a disciplinary leader provide directions, coaching and support to the Data Scientists (and Data Engineers - currently 8 FTEs, plan to grow to ~15 by end of next year) chartered to Research, develop and adapt algorithms that unlock the capacity in the energy system through optimised returns in trading the flexibility of our assets Actively drive talent development in the Data Science team, individually and as a team A winning mentality that drives cultural change; role-model collaboration and teamwork with peers heading other teams Be responsible for the expansion and evolution of our cloud-based service offering, delivering innovation and differentiation, based on technology leadership solid fundamentals and a lean research and implementation process Collaborate with the executive and leadership teams to set the vision, strategy, algorithmic roadmap and long-term goals that align with the business objectives, achieving Entrix's success Fail-fast, as part of the tech leadership team, accelerating product delivery without sacrificing excellence is what we are inspired by, finding new ways of working, using technology, breaking habits, limits and ceilings. Especially for a data-science team the balance between exploration and delivery is crucial and needs to be clearly demarcated and managed Foster technical excellence, drive best practices contribute to our open, data driven engineering culture Building, iterating, deploying and maintaining code from scratch to excellence #### Your Profile Master or advanced degree in Computer Science, Mathematics, Physics or a related field 7+ years experience in Data Science of which at least 3 years in a leadership position 5+ years of experience in delivering and maintaining machine learning and data science algorithms in production Demonstrated success in managing and leading high-performing Data Science teams Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders as well as collaborating on deep technical concepts with your peers and team Track record of successfully delivering technically advanced data products in time Ability to technically and scientifically lead applied research projects, challenging our current technology choices as well as assisting in bringing the models to production Excellent English communication and interpersonal skills You enjoy solving problems and sparring ideas in a cross-functional team with our battery engineers, software engineers, product managers and business developers Skills to Set You Apart Having led a mix of Data Science and Software Teams You have built data science teams before Experience in the energy industry #### Your Compensation Package and Benefits Competitive Compensation Package: Including salary and benefits Public Transportation Subsidy: Monthly subsidy to your public transport ticket Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers Work Equipment: MacBook or Windows Laptop and ergonomic workplace Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc. #### A Short Note from Your Future Lead Sébastien Schikora - Chief Technology Officer Hi there! I’m Sébastien Schikora, and I’ve been driving tech innovation as CTO at Entrix since June 2022 and Flexa since February 2024. My career has been a mix of exciting challenges and opportunities, with a strong focus on transforming the energy industry and reshaping how electricity grids work and the best is yet to come. Here’s a quick snapshot of my journey so far: CTO at KONUX (2018–2022): Shaped the company’s tech vision, built world-class products, and scaled technology to solve big problems. Senior Manager at Tesla (2015–2018): Led the charge in developing cutting-edge energy storage systems and seamless mobile experiences. VP of Product Development at NES Corporation (2014–2015): Helped launch a new company and product line, disrupting grid digitalization. Echelon Corporation: Spent six years driving innovation in grid modernization and smart metering, from product management to development leadership. Hewlett Packard: Before diving into energy, I spent over a decade refining enterprise software solutions. * Having spent most of my career in Silicon Valley, I bring a mindset that’s all about pushing boundaries, moving fast, and creating meaningful impact. Now based in Munich, I apply that same energy to building teams and driving innovation here in Europe. At Flexa and Entrix, we believe great tech starts with great people. Collaboration, creativity, and an unrelenting focus on delivering results are at the heart of everything we do. If you’re ready to work with a team that’s reshaping industries and tackling some of the toughest challenges out there, I’d love for you to check out our opportunities. Join us, and let’s build something extraordinary together. Looking forward to seeing what we can create. Best Regards, Sebastien Schikora Chief Technology Officer Flexa / Entrix#### Contact Information Feel free to reach out to Christoph Droste - christoph.droste@flexa.energy, for any questions. We are looking forward to receiving your application! #### About us Flexa, a Joint Venture between Enpal and Entrix, is chartered with delivering a Virtual Power Plant (VPP) delivering exceptional energy cost savings while supporting the transition to a 100% renewable electricity future. The combination of delivering complete residential energy systems at great cost with savvy market participation in several revenue streams sets us up to deliver real world customer savings while improving customer satisfaction enjoying the advantages of a fully electrified and energy producing home. Through a deep integration into the installed hardware and a direct connection to the customer interfaces, Flexa’s solution controls the energy assets (such as EV, heat pump, home storage and others) of the entire Enpal energy community with an exceptional level of accuracy, speed, transparency, and thus customer satisfaction. With intelligent real-time dispatching algorithms, Flexa maximizes Enpal customers’ usable flexibility and its returns on energy markets including costs, such as grid fees, asset degradation.

Head of Data Science & Geo Spatial Analytics

Job Title Head of Data Science \& Geo Spatial AnalyticsJob Description Summary The Head of Data Science \& Geospatial Analytics serves as the firm’s lead expert in quantitative, econometric, and geospatial analysis for commercial real estate, driving the development of an integrated, data‑driven “Reimagining Real Estate” analytical framework. This role shapes data strategy across public, private, and proprietary sources; advances innovative modeling, forecasting, and geospatial capabilities; and advises on best‑in‑class quantitative methodologies used throughout the organization. Acting as a strategic thought leader, the position strengthens the firm’s analytical brand through research, client engagement, and industry representation, while managing a team of specialized data scientists and overseeing complex cross‑functional analytical initiatives. Ideal candidates bring advanced quantitative education, deep expertise in econometrics and ML/AI, strong programming proficiency, and exceptional communication and client‑facing skills.Job Description Key Objectives: Multi-disciplinary expert on quantitative and technical matters related to CRE, with strategic advisory to all analytical endeavors as appropriate. Expert on public and private data sources, including microdata and geospatial associations. Develop and implement new framework for analyzing real estate markets, with a whole-of-real-estate and whole-of-data approach. Innovate creative solutions and incubate new analytical methods, tools or products. Develop \& Implement “Reimagining Real Estate” Analytical Framework (50%) Advise and develop data strategy in partnership with Head of Quantitative Insights \& Principal Economist, TDS, PRI and other relevant stakeholders, including appropriate data vendors, public data, and proprietary data. Strategy will include geospatial components, estimation techniques, database structure, normalization and other elements of best-in-class research data planning. Deploy Places Lens and other appropriate classification layers to data architecture and ensure base level of capabilities from partnership are met (e.g., Risk/Reward matrix, Places Score, HALO, etc.). Partner with the Head of Forecasting as appropriate to ensure consistent analytical product delivery. Identify opportunities for new research, R\&D and innovation that add value to Cushman \& Wakefield as well as its clients. Over time, partner with Head of Quantitative Insights \& Principal Economist and team to identify white space in analytical/advisory business where platform can add value to new clients (e.g., CMBS/MBS credit analysts, etc.) and integrate vision into analytical capabilities, research and publication. Multi-disciplinary Advisor for Technical / Quantitative Analysis (30%) Strategic Advisor for quantitative methodologies deployed throughout the firm (e.g., best practices for labor analytics employed by Consulting). Partner with Head of Commercial Analytics as needed to integrate methodologies into [automated] practice. Ensure best-in-class methodological documentation practices are followed. Partner with internal and external technology and data partners to identify strategic opportunities to augment or refine data (e.g., Linnaean) for research/analytical purposes. Where appropriate, lead specific opportunities. Provide advisory to Head of Quantitative Insights \& Principal Economist and team on quantitative endeavors (e.g., key advisor to FVI/FVR and TIME Score methodologies). Augment Cushman \& Wakefield Analytical Brand Value Expert on macro (economy, financial, demographics) and micro (urban planning/zoning, land-use, regional economy, TOD) reals that affect CRE . Partner with Think Tank and Americas Research on thought leadership that promotes brand value, with emphasis on novel analytical findings, differentiation and tactical/strategic white papers, often with an academic tilt. [Generally aiming for one report year where Head of Quantitative Insights \& Principal Economist team is main author and content is novel analytical findings and strategic implications. Otherwise, support other efforts as appropriate, but not as main author.] Brand ambassador at industry events and with the media. Serve as a client-facing resource as a key spokesperson on strategic implications of research findings. Point of contact for all “RRE” matters Management and Talent Development Oversee team of quantitatively-oriented SMEs, including those with strong econometric, ML/AI, and GIS/geospatial orientations Manage complicated workstreams among self and team, often involving multiple stakeholders across teams. Requirements: Ph.D or Master’s degree in Economics, Applied Economics, Statistics, Finance, Real Estate, Urban/Regional Planning, Public Policy or in a related field preferred 7-10 years of experience in time-series analysis and forecasting Experience with architecting and engineering econometric/forecasting modeling infrastructure Expertise in various econometric modeling techniques, time series analysis, panel data, and ML/AI Experience with or with managing GIS analysis, geospatial econometric analysis Proficiency in one or more programming languages (Eviews, R, Python) Exceptional written and oral communication skills Excellent presentation skills and client-facing expertise * Ability to work effectively at all levels of the organization in pursuit of business development Cushman \& Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications. The company will not pay less than minimum wage for this role. The compensation for the position is: $ 204,000.00 - $240,000.00 Cushman \& Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman \& Wakefield, please call the ADA line at 1-888-365-5406 or email HRServices@cushwake.com. Please refer to the job title and job location when you contact us. INCO: “Cushman \& Wakefield”

Head of Data Science and Advanced Analytics , US Commercial

$218,000 - $327,000/yr

Location: Boston, United States Job reference: R-245098 Date posted: 02/06/2026 Are you ready to lead the charge in transforming data into actionable insights? As the Head of Data Science and Advanced Analytics , US Commercial , you'll be at the forefront of setting and executing the vision and strategy for advanced analytics initiatives. This critical position involves using data-driven insights to improve the US Commercial strategy, sales, patient engagement, and market expansion in outstanding and rare diseases. Drive innovation and maximize the impact of data science on business results in one of the world's most dynamic healthcare markets! You will be responsible for: Strategic Leadership: Develop and lead the execution of a data science and advanced analytics strategy tailored to the US Commercial business, with a focus on maximizing field effectiveness, patient identification, customer engagement, and commercial success in rare and specialty disease markets. Partner with US Commercial leadership and cross-functional collaborators to ensure alignment of analytics priorities. Drive the adoption of AI, predictive modeling, and advanced insights throughout the commercial division. Operational Management: Coordinate the Center of Excellence's operations involving data science and sophisticated analytics to support US Commercial objectives. Ensure deliverables are timely and meet high-quality standards. Address emerging needs in the market, payer trends, and evolving competition. Continuously improve data pipelines, analytical processes, and reporting tools supporting brand, payer, and field teams. Team Leadership: Recruit, mentor, and develop a high-performing, US-focused team, including data scientists and commercial analytics specialists. Foster a culture of innovation, accountability, and business partnership within the CoE, ensuring continuous skills development and team engagement. Stakeholder Engagement: Serve as the lead interface between the CoE and US Commercial business units, including Brand, Market Access, Patient Services, and Customer Engagement. Translate complex analyses into clear business recommendations and deliver presentations to US commercial leadership, sales teams, and external partners as needed. Commercial Analytics \& Support: Lead building, implementation, and maintenance of advanced analytics models and dashboards to address critical commercial opportunities (e.g., targeting and segmentation, omnichannel marketing analytics, measurement of return on investment, patient journey analysis, and forecasting). Drive the use of real-world, claims, and distribution data to improve performance in rare disease launches and mature portfolio management. Support data-driven decision making by providing market insights, competitive intelligence, and field performance analytics for the US market. Technology and Innovation: Evaluate and deploy innovative analytics technologies, AI/ML platforms, and advanced data tools that give US Commercial teams a competitive advantage. Monitor commercial analytics trends and practices in the US healthcare market and integrate outstanding solutions. Performance Measurement: Define and track critical metrics measuring CoE impact within US Commercial performance (e.g., sales growth, market penetration, HCP engagement, launch excellence). Deliver actionable dashboards, reports, and insights to multiple US Commercial collaborators and regional representatives You will need to have: Education: Education: Master’s or Ph.D. in Data Science, Statistics, Computer Science, Business Analytics, or a related quantitative field. Experience: 15+ years’ experience in data science, advanced analytics, or commercial analytics roles, including at least 7 years in a senior/leadership capacity with a focus on US Commercial operations in healthcare, biotech, or pharmaceuticals. Technical Skills: Deep proficiency in commercial data science and analytics, including statistical modeling, machine learning, segmentation, and forecasting (Python, R, SQL, etc.). Hands-on experience with commercial analytics and visualization tools (e.g., Qlik, Power BI, Tableau, Veeva, Databricks). Expertise working with US commercial data assets (claims, prescription, distribution, CRM, real-world data, patient support). Leadership Skills: Demonstrated ability to build and lead US-focused analytics teams. Strong interpersonal, influencing, and communication skills; able to effectively present analytics to commercial executives and field teams. Proven record of change management and building commercial analytics capabilities. Analytical Skills: Advanced business acumen, with the ability to turn US commercial challenges into actionable analytics projects and insights that fuel growth and performance. Other Requirements: Ability to work in a fast-paced, dynamic environment. Strong leadership and team management capabilities. Experience, working in the pharma or biotech sectors, preferably working within or with the Commercial team Knowledge of Syndicated Claims data, Lab data (IQVIA LAAD, Symphony, Specialty Pharmacy/Specialty Distribution). We would prefer for you to have: Proven experience in performing analytics related to US commercial activities for rare or specialty diseases is highly preferred. Competencies US Commercial Acumen: Deep understanding of the US pharmaceutical/biotech commercial landscape, including field force dynamics, market access, specialty distribution, and key challenges in rare disease markets. Visionary Leadership: Ability to set a compelling vision for advanced analytics as a business driver within the US Commercial environment. Collaboration: Ability to engage and partner across commercial, brand, patient services, and market access teams. Ethical Judgment: Commitment to ethical data practices, patient privacy, and compliance with US regulatory standards (HIPAA, etc.). In-Office/Hybrid Statement: When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work on average a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Compensation and other factors: The annual base pay (or hourly rate of compensation) for this position ranges from $218,000 - $327,000. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.* At AstraZeneca's Alexion division for Rare Diseases you will find an environment where work is more than just a job—it's a mission. Our closeness to patients brings us closer to our work and each other. With a rapidly growing portfolio in a nimble biotech atmosphere supported by global resources, tailored development programs are crafted to improve your skills. These programs encourage a deep understanding of our patients' journeys. Here diversity is valued; inclusion is championed; innovation is celebrated; all while making a profound impact on patients' lives. Ready to make a difference? Apply now! Date Posted 05-Feb-2026Closing Date 14-Feb-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

Head of Data Science

Head of Data Science & Machine Learning

From $202/yr

Beehive Industries is dedicated to Powering American Defense by revolutionizing the design, development, and delivery of jet propulsion systems to support the warfighter. Through the integration of additive manufacturing, the company aims to meet the growing and urgent needs for unmanned aerial defense by dramatically improving a jet engine’s speed to market, fuel efficiency, and cost. Founded in 2020, the company is headquartered in Englewood, Colorado, with additional facilities in Knoxville, Tennessee, Loveland Ohio, and Mount Vernon, Ohio. Beehive is committed to grow and advance the defense industrial base while manufacturing exclusively in the USA. This role will be located at our Loveland, Ohio facility. Role Overview The Head of Data Science & Machine Learning will lead the company’s enterprise-wide efforts to unlock the value of data in aerospace design, manufacturing, operations, and business development. This role is responsible for building and scaling a high-performing dat