data scientist

business analyst

sales specialist

data analyst

application specialist

data specialist

Unilever

<div><div>Unilever is currently hiring for Master Data Specialist 
 
Function: Customer Operations 
Reports to: Data Governance Manager 
Scope: Regional TR 
Location: &#304;stanbul Head Office, TR 
Terms &amp; Conditions: Full time 
 
ABOUT UNILEVER 
With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people &ndash; we believe that when our people work with purpose, we will create a better business and a better world. 
At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don&rsquo;t believe in the &lsquo;one size fits all&rsquo; approach and instead we will equip you with the tools you need to shape your own future. 
 
JOB PURPOSE 
Unilever is the place where you can bring your purpose to life with the work that you do &ndash; creating a better business and a better world. If you are a person who is passionate about managing data, can ensure cross-functional alignment and identification of fundamental requirements for enhancing and sustaining master data quality and agility then this role is just for you! 
 
WHAT WILL YOUR MAIN RESPONSIBILITIES BE 
<ul><li>Directly responsible for being the Subject Matter Expert in SAP and MDM data processes and procedures. Lead Master data system implementations with global standards.</li><li>Based on the input provided by several stakeholders, creating the Material Master Data for all material types in SAP BPM. Performing the modification process of master data and managing product lifecycle process</li><li>Takes the lead for creation of documentation for all internal MD business processes and for the development and maintenance of master-data creation error root-cause.</li><li>Responsible for issue resolution and decision making for all Master Data inquiries.</li><li>Assists in leading, developing, and providing in-depth training to the SAP Master Data Providers on tools developed by the GMMD/PLM project to simplify the Master Data Collection and population into SAP.</li><li>Ability to review and determine issues prior to assignment and the communication skills necessary to communicate back to business.</li></ul> 

WHAT YOU NEED TO SUCCEED 
 
Experiences &amp; Qualifications 
<ul><li>Bachelor&rsquo;s degree in Computer Science is preferred</li><li>1-4 years of relevant increasing responsibility of Data Management, Demand/Supply chain processes</li><li>Knowledge of GS1 standards and Best Practices is preferred</li><li>Good overall computer skills (MS office, focus on excel)</li><li>Experience in working with SAP and BPM is preferred</li><li>Master data experience is preferred</li><li>Excellent communication and interpersonal skills, and able to work effectively with stakeholders at all levels of the organization.</li><li>Excellence in both Turkish and English communication</li></ul> 
Skills 
<ul><li>Business Acumen</li><li>Stakeholder Management</li><li>Collaboration</li><li>Service Delivery Management</li><li>Data Analytics</li><li>Change Management</li></ul> 
Leadership 
<ul><li>You are energized by delivering fantastic results. You are an example to others &ndash; both your results and your resilience. You are constantly on the lookout for better ways to do things, engaging and collaborating with others along the way.</li><li>As an individual you are the one responsible for your own wellbeing and delivering high standards of work. You must also focus on the Consumer and what they need. You are humble and have your head up, looking around to interpret evidence and data smartly, spot issues and opportunities to make things better.</li></ul> 
<ul><li>Critical SOL (Standards of Leadership) Behaviors</li></ul>
o PASSION FOR HIGH PERFORMANCE: Takes personal responsibility and accountability for execution and results. Has an owner&rsquo;s mindset, using data and insight to make decisions. 
o PERSONAL MASTERY: Sets high standards for themselves. Actively builds own wellbeing and resilience. 
o CONSUMER LOVE: Whatever their role, always looks for better ways to serve consumers. Invests time inside and outside to understand the needs of consumers. 
o PURPOSE &amp; SERVICE: Has humility, understanding that leadership is service to others, inside and outside Unilever. 
o AGILITY: Explores the world around them, continually learning and developing their skills. 
 
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.</div>
Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their &lsquo;Whole Self&rsquo; to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.</div>

Data Specialist

Otobid

<div>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong technical skills regarding statistics, data analysis, machine learning and programming
 </li>
 <li>
 Strong knowledge of Python
 </li>
 <li>
 Excellent problem-solving skills, use of data to connect multiple ideas and develop solutions
 </li>
 <li>
 Strong knowledge of SQL
 </li>
 <li>
 A portfolio with proven track records (papers, projects, blogs, GitHub repos)
 </li>
 <li>
 Knowledge in Git
 </li>
 <li>
 Good command of English
 </li>
 </ul>
 
 
 
 
 
 Bonus Points For:
 
 
 <ul>
 <li>
 MSc degree or PhD in a Computer Science, Statistics, Mathematics or Engineering, etc
 </li>
 <li>
 Strong communication and storytelling skills. Experience in communicating complex concepts with others coming from diverse backgrounds
 </li>
 <li>
 Domain knowledge in similar businesses
 </li>
 <li>
 Experience with containerization and serving Machine Learning models as microservices
 </li>
 <li>
 Systems administration skills in Linux
 </li>
 </ul>
</div>

Data Science Specialist

Scorp

<div>
 
 About Us
 
 
 
 Scorp Inc. is an innovative technology company with offices in Istanbul and San Francisco. Founded in 2014, we initially launched the Scorp app but have since shifted our focus to developing mobile applications centered around social media and live streaming. Our apps are active in 182 countries, with one app reaching 600,000 daily active users and another engaging 400,000. In 2023 alone, we gained over 150 million new registered users, supporting more than 25 languages.
 
 
 We are a tech company based in Istanbul that develops mobile applications for a global audience. We are looking for a
 
 Marketing Specialist (Arabic Speaker)
 
 to join our growing team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Support marketing activities in Arabic-speaking markets
 </li>
 <li>
 Create and adapt content for social media and campaigns
 </li>
 <li>
 Support influencer collaborations and community management
 </li>
 <li>
 Track performance and help improve marketing strategies
 </li>
 <li>
 Being responsible for ideating, planning, and executing advertising, and social matching campaigns
 </li>
 <li>
 Performing market research on the latest trends and market analysis
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Native or fluent in Arabic, with good command of English,
 </li>
 <li>
 Previous experience in digital marketing, social media, or related fields is a plus
 </li>
 <li>
 Strong communication and organizational skills
 </li>
 <li>
 Ability to adapt quickly and work in a fast-paced environment
 </li>
 <li>
 Interest in mobile applications and digital trends
 </li>
 <li>
 Understanding cultural nuances of the countries they will be working in relation to and knowing how to address their audience
 
 
 </li>
 </ul>
 If you're looking for an opportunity to kickstart your career in a
 
 dynamic and innovative
 
 environment, we'd love to hear from you!
</div>

Marketing Specialist (Arabic Speaker)

TRB 360

<div>
 
 We are seeking a
 
 AI Specialist
 
 for our Istanbul-based company operating in the oil and gas sector.
 
 
 
 
 
 
 About The Company
 
 
 
 
 
 
 We are an AI-driven startup revolutionizing oil and gas trading and hedging through cutting-edge machine learning, data analytics, and financial modeling. We seek an experienced AI Specialist to design, implement, and optimize AI-powered trading models and risk management systems.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and implement AI algorithms/models for trading, forecasting, and risk management in oil and gas markets.
 </li>
 <li>
 Create predictive models for price movements, supply-demand dynamics, and geopolitical risk assessment.
 </li>
 <li>
 Design and maintain hedging strategies using derivatives and financial instruments.
 </li>
 <li>
 Develop and maintain data pipelines and ensure data quality
 </li>
 <li>
 Analyze large-scale market data from multiple sources (e.g., market feeds, economic reports).
 </li>
 <li>
 Collaborate with traders, data engineers, and financial analysts to integrate AI models into trading systems.
 </li>
 <li>
 Conduct backtesting, scenario analysis, and performance evaluation of models.
 </li>
 <li>
 Stay updated on emerging AI technologies, trading models, and market regulations.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 BSc, Master&rsquo;s or Ph.D. in Computer Science, Data Science, Finance, or a related field.
 </li>
 <li>
 3+ years of experience in software development.
 </li>
 <li>
 Proven experience with AI applications in financial trading, commodities, or energy markets.
 </li>
 <li>
 Expertise in machine learning frameworks (TensorFlow, PyTorch) and statistical modeling.
 </li>
 <li>
 Strong programming skills in Python, R, or C++.
 </li>
 <li>
 Familiarity with financial market structures, derivatives, and quantitative finance.
 </li>
 <li>
 Experience with time-series analysis, reinforcement learning, and optimization techniques.
 </li>
 <li>
 Ability to translate complex data insights into actionable trading strategies.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience in commodity trading, especially oil and gas.
 </li>
 <li>
 Knowledge of energy market regulations and compliance standards.
 </li>
 <li>
 Experience with cloud-based AI platforms (AWS, Azure, Google Cloud).
 </li>
 <li>
 Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.
 </li>
 <li>
 Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.
 </li>
 <li>
 Expreince with LSTM and XGBoost Models.
 </li>
 </ul>
 
 
</div>

AI Specialist

Creatives Data

<div>
 
 We are seeking an experienced senior professional to lead data collection and analysis for marketing campaigns across multiple industry sectors. In this role, you will harness
 
 AI tools and advanced statistical methods
 
 to turn large, complex datasets into actionable insights that drive marketing strategy. You will build and analyze big data pools from various sources, develop predictive models, and present data-driven narratives that inform decision-making.The ideal candidate thrives at the intersection of data and storytelling, collaborating with cross-functional teams to optimize campaigns and support business goals with evidence-based insights.
 
 
 
 
 
 Job Description
 
 
 
 
 
 As a
 
 Marketing Data Scientist / Big Data Analyst
 
 , you will play a pivotal role in our agency by managing end-to-end data initiatives for marketing campaigns in diverse sectors. This includes developing methods to
 
 collect and aggregate large datasets from numerous digital sources
 
 , then cleaning and processing that data to uncover meaningful patterns
 
 
 &nbsp;
 
 
 You will transform raw data into clear
 
 graphs, statistical reports, and insightful visualizations
 
 that aid in decision-making Using AI-driven analytics and machine learning models, you will generate predictive insights and optimization recommendations to improve campaign performance. Your work will directly influence marketing tactics such as lead generation strategies, business planning, and branding efforts by providing deep analytical reports and forecasts. In collaboration with marketing teams, you&rsquo;ll help set targets and KPIs, ensuring that data-driven insights are integrated into strategic planning. Ultimately, you will be responsible for leveraging cutting-edge analytics to
 
 drive marketing strategies and enhance campaign effectiveness
 
 across the organization
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Develop and implement robust data collection methods to gather
 
 large-scale data
 
 from relevant industries and digital platforms. Build and maintain big data repositories combining sources like web analytics, CRM systems, social media, and more ensure data quality through cleaning and validation processes for accurate analysis.
 </li>
 <li>
 
 Data Processing &amp; Visualization:
 
 Utilize tools such as
 
 Python
 
 (pandas, NumPy) and
 
 Excel
 
 to process and analyze the collected data. Generate clear visualizations (charts, graphs) and performance reports to communicate key metrics and trends regularly prepare
 
 monthly/quarterly KPI reports
 
 using software like Excel and Power BI, translating complex datasets into easily understandable dashboards.
 </li>
 <li>
 
 Advanced Analytics &amp; AI Integration:
 
 Leverage artificial intelligence and machine learning techniques to extract deeper insights from marketing data.
 
 Build predictive models
 
 to forecast marketing performance and customer behavior, and analyze campaign data to uncover actionable insights using AI/ML techniques use predictive analytics to solve complex marketing problems and drive data-informed business decisions.
 </li>
 <li>
 
 Campaign Optimization:
 
 Apply advanced statistical analysis to evaluate campaign outcomes and identify opportunities for improvement. Develop
 
 audience segmentation models and personalization strategies
 
 to help target the right audiences at the right time provide optimization recommendations (e.g. timing, channel mix, budget allocation) based on data findings to maximize ROI on marketing campaigns.
 </li>
 <li>
 
 Reporting &amp; Insights Communication:
 
 Extract data from platforms like
 
 Google Analytics
 
 and
 
 Meta (Facebook/Instagram) Business Suite
 
 to assess campaign performance across digital channels. Prepare comprehensive analysis reports on key areas such as lead generation funnels, marketing ROI, and brand engagement, presenting findings to stakeholders in a clear narrative format.
 
 Present data-driven insights and recommendations
 
 to marketing and leadership teams, translating analytic results into concrete action items.
 </li>
 <li>
 
 Collaboration &amp; Strategy Support:
 
 Work closely with marketing, sales, and business planning teams to define campaign goals and
 
 key performance indicators (KPIs)
 
 . Partner with cross-functional teams (including product and IT) to ensure analytical findings inform strategic decisions and to implement data-driven improvements support the development of innovative marketing strategies by providing thought leadership on data and emerging trends.
 </li>
 <li>
 
 Automation &amp; Tool Development:
 
 Identify opportunities to
 
 automate data extraction, reporting, and analysis
 
 processes using AI and scripting. Develop and maintain interactive dashboards (e.g., in Tableau or Power BI) to allow stakeholders self-service access to marketing analytics. Continuously research and integrate new data tools or methodologies to enhance the analytics workflow and efficiency.
 </li>
 <li>
 
 Continuous Improvement:
 
 Stay up-to-date with the latest industry trends in marketing analytics, big data technologies, and AI applications. Monitor the effectiveness of data mining and analytics tools in use, troubleshooting any issues that arise proactively recommend and implement enhancements to data practices, ensuring our analytics approach remains cutting-edge and effective in driving marketing success.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Experience:
 
 7+ years of relevant experience (senior level) in data science, marketing analytics, or a related field. Proven track record of leveraging data analysis to drive significant business impact and marketing ROI experience in managing large-scale data projects from inception to insight delivery.
 </li>
 <li>
 
 Digital Marketing Analytics:
 
 Hands-on experience analyzing digital marketing performance using platforms like
 
 Google Analytics
 
 (or Adobe Analytics) and social media advertising tools (Facebook/Instagram Ads Manager, Google Ads, etc.). Deep understanding of web analytics and marketing metrics to independently evaluate campaign success.
 </li>
 <li>
 
 Technical Skills:
 
 Advanced proficiency in
 
 Python
 
 for data analysis (including libraries such as pandas and NumPy) and
 
 Excel
 
 (complex formulas, pivot tables) for data manipulation. Strong ability to query and handle databases using
 
 SQL
 
 and/or to perform statistical analysis in tools, familiarity with statistical software or languages (e.g., R, SAS) is a plus.
 </li>
 <li>
 
 AI &amp; Machine Learning:
 
 Working knowledge of AI and machine learning techniques as applied to marketing data. Experience building or utilizing ML models for predictive analytics, customer segmentation, or personalization in a marketing context awareness of AI-driven marketing tools (such as optimization algorithms, chatbots, or recommendation engines) and ability to integrate these into analysis workflows.
 </li>
 <li>
 
 Big Data &amp; BI Tools:
 
 Comfortable working with
 
 large datasets
 
 (&ldquo;big data&rdquo;) from varied sources. Experience using data visualization and business intelligence tools like
 
 Power BI or Tableau
 
 to create interactive dashboards and reports for stakeholders knowledge of data warehousing concepts and ability to extract data from data warehouses or big data platforms is preferred.
 </li>
 <li>
 
 Analytical &amp; Problem-Solving Skills:
 
 Exceptional analytical thinking and problem-solving abilities, with a talent for identifying trends and insights in complex data ability to design experiments (A/B tests, multivariate testing) and apply statistical rigor to interpret results. A
 
 data-driven mindset
 
 and attention to detail in validating findings.
 </li>
 <li>
 
 Communication &amp; Storytelling:
 
 Excellent communication skills to translate data findings into compelling stories and presentations for both technical and non-technical audiences. Proven ability to
 
 communicate insights and recommendations
 
 to all levels of an organization, aiding strategic decision-making.
 </li>
 <li>
 
 Leadership &amp; Collaboration:
 
 Demonstrated ability to lead projects and possibly mentor junior analysts or data team members. A collaborative attitude to work effectively with cross-functional teams.
 
 (Leadership experience in guiding analytics initiatives or teams is a strong plus, indicating the ability to manage resources and drive a data-focused culture)
 
 </li>
 <li>
 
 Language Proficiency:
 
 Proficiency in English (written and spoken) is required. You should be comfortable reading and writing technical documentation in English and communicating findings to international stakeholders.
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field such as
 
 Statistics, Data Science, Computer Science, Engineering, Mathematics, Economics, or Marketing
 
 a strong foundation in quantitative analysis is essential. Advanced degrees or relevant certifications in data analytics or marketing science are advantageous.
 </li>
 </ul>
 
 
 
 
 Our agency works on multi-sector projects, so we value candidates who are
 
 adaptable and curious about different industries
 
 , and who can apply data-driven marketing strategies in new domains. If you are an innovative thinker who stays on top of emerging trends and enjoys turning data into strategic insights, we encourage you to apply.
 
</div>

Big Data Analyst & Marketing Data Scientist

Sanofi

<div>People Services Specialist - Turkey &amp; Levant
The role has the overall accountability of the end-to-end People Services - Operations is to deliver best-in-class service to Employees and to partner with relevant business representatives across the Turkey &amp; Levant organization to ensure sustainable processes. 
The People Services Specialist reports to the Head of People Services Eurasia. 
In addition to this oriented role within the company the People Services Specialist ensures all administrative management of the employees. 
Key Responsibilities
The purpose of People Services Specialist is to ensure that:<ul><li>
Ensure smooth process for On-boarding and Off-boarding</li><li>
Ensure smooth process of all Job changes</li><li>
Ensure smooth process of all new recruits are created on Workday timely</li><li>
Follow up all KPIs for People Services tasks</li><li>
Ensure all the all data is kept up to-date in the Workday system</li><li>
Ensure accurate payroll input is sent timely to the payroll department</li><li>
Legal payment requests follow up</li><li>
Conducting expatriate transactions</li><li>
Supporting benefits transactions (Medical plan, lunch ticket etc)</li><li>
Managing employee reward platform</li><li>
Supporting personnel administration tasks such as employment certificate, visa documents demands etc. when needed</li><li>
Managing Workday master data</li><li>
Act as point of contact for between internal and external clients</li><li>
Handle requests and queries appropriately</li><li>
Ensure business partnering and support to People and Culture and the affiliate</li><li>
Ensure compliance is respected</li><li>
Manage employee self-service platform locally in collaboration with People and Culture team</li></ul> 
Requirements:<ul><li>
Very good understanding of relevant People &amp; Culture topics</li><li>
Fluent in English and Turkish in both speaking and writing</li><li>
Solid communications skills</li><li>
Ability to handle sensitive and confidential information</li><li>
Team spirit</li><li>
Sound administration skills</li><li>
Providing timely and efficient support to People Services, People &amp; Culture, line managers and employees</li><li>
Personality with strong delivery skills and focused on results</li><li>
Adapt to change</li><li>
Willing to learn and share knowledge</li><li>
Agility</li><li>
Highly focused, proactive, results orientated and self driven.</li><li>
Able to use initiative within the framework of the position &amp; its level of authority ; knows when to refer decisions to a more senior level.</li><li>
Develops good working relationships within the company, as is approachable; demonstrates intercultural adaptability and sensitivity.</li><li>
Shows integrity, tenacity, resilience and adaptability in a changing environment; is able to prioritize work according to importance &amp; level of urgency; is able to work under pressure and commit to and respect deadlines</li></ul> 
Terms of Employment<ul><li>
This full-time position does not have people management responsibility.</li></ul> 
Location
Istanbul 
At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. 

null</div>

People Services Specialist

TEMA MAKINA

<div>
 
 
 Company Description
 
 
 
 
 Based in Turkey, TEMA MAKINA delivers innovative laboratory equipment and cutting-edge machinery for R&amp;D, production, and packaging to pharmaceutical, biotechnology, and food industries.
 
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time role for an Application &amp; Formulation Specialist &ndash; Pharma R&amp;D Equipment based in Istanbul.
 
 
 We are seeking a highly skilled&nbsp;
 
 Application &amp; Formulation Specialist
 
 &nbsp;to bridge the gap between
 
 pharmaceutical R&amp;D formulation expertise
 
 &nbsp;and&nbsp;
 
 commercial success
 
 . This role combines hands-on formulation and analytical knowledge with the ability to deliver compelling&nbsp;
 
 technical presentations, demonstrations, and training
 
 &nbsp;to prospective and existing customers.
 
 
 The specialist will work closely with&nbsp;
 
 R&amp;D, technical, and sales teams
 
 &nbsp;to identify customer needs, design and present application-based solutions, and support the sales process from initial engagement through to deal closure.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Minimum 3 years in pharmaceutical R&amp;D, formulation, or laboratory applications.
 </li>
 <li>
 Prior experience in equipment demonstrations, technical presentations, or application support preferred.
 </li>
 <li>
 Hands-on experience with pharmaceutical processing and analytical equipment.
 </li>
 <li>
 Strong knowledge of formulation techniques and analytical methods&nbsp;
 </li>
 <li>
 Skills in data analysis, documentation, and reporting
 </li>
 <li>
 Exceptional presentation, communication, and interpersonal skills.
 </li>
 <li>
 Ability to build strong customer relationships and adapt technical language to diverse audiences.
 </li>
 <li>
 Strong communication and teamwork abilities
 </li>
 <li>
 Proficiency in English is a must
 </li>
 <li>
 Bachelor's degree in Pharmacy, Chemical Engineering, or related field required; Advanced degree preferred
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Formulation Development &amp; Support
 
 
 <ul>
 <li>
 Provide technical expertise in pharmaceutical formulation (solid, liquid, and semi-solid dosage forms) for customer projects and demonstrations.
 </li>
 <li>
 Assist in pre-formulation and scale-up studies using state-of-the-art equipment.
 </li>
 <li>
 Conduct trials and application tests to demonstrate equipment performance and product benefits.
 </li>
 </ul>
 
 
 Customer Engagement &amp; Presentations
 
 
 <ul>
 <li>
 Deliver&nbsp;
 
 technical presentations, live demonstrations, and workshops
 
 &nbsp;to potential clients, both in person and virtually.
 </li>
 <li>
 Translate technical features into customer-centric benefits, tailored to R&amp;D, QA, and production audiences.
 </li>
 <li>
 Attend trade shows, conferences, and client site visits to showcase solutions.
 </li>
 </ul>
 
 
 Pre-Sales &amp; Sales Support
 
 
 <ul>
 <li>
 Collaborate with the sales team to develop technical proposals and solution packages.
 </li>
 <li>
 Provide application data, proof-of-concept results, and ROI justification to support sales opportunities.
 </li>
 <li>
 Assist in equipment selection and configuration based on client requirements.
 </li>
 </ul>
 
 
 Post-Sales Support
 
 
 <ul>
 <li>
 Provide training and onboarding for customers on newly acquired equipment.
 </li>
 <li>
 Support troubleshooting, optimization, and method transfer as needed.
 </li>
 </ul>
 
 
 Market &amp; Product Knowledge
 
 
 <ul>
 <li>
 Maintain up-to-date knowledge of pharmaceutical R&amp;D processes, analytical instrumentation, and competitor offerings.
 </li>
 <li>
 Feed market insights and customer feedback into product development and sales strategy.
 </li>
 </ul>
 
 
 
 
 
 
</div>

Application & Formulation Specialist – Pharmaceutical R&D Equipment

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