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scientist ii, bioassay

pharmacovigilance safety scientist

ProPharma

<div>
 For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality &amp; compliance, pharmacovigilance, medical information, and R&amp;D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners&rsquo; most high-profile drug and device programs.
 
 
 
 Job Summary
 
 
 
 The Pharmacovigilance (PV) Scientist supports the activities in the Benefit Risk group by ensuring that day-to-day operational activities are completed. The PV Safety Scientist is expected to be professional and diligent and liaise with the director and management group members within the team on any issues, as well as coordinate the work with the senior PV Scientists. The PV Safety Scientist is also expected to lead by example and ensures quality standards are upheld within the company.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Authoring of Aggregate reports (PSURs/PBRERs, PADERs/Annual Reports/ ACO/ DSUR) for submission to local and other Health Authorities.
 </li>
 <li>
 Authoring of Risk Management Plans (RMPs) as a part of regular Pharmacovigilance activities.
 </li>
 <li>
 Authoring of Signal Management Reports.
 </li>
 <li>
 Performing literature search and validity check for the aggregate reports.
 </li>
 <li>
 Reconciliation of relevant process trackers.
 </li>
 <li>
 Extraction and validation of data (RSI, Sales, previous reports, RMP, signals).
 </li>
 <li>
 Generation of Line Listings (LL) from safety database
 </li>
 <li>
 </li>
 <li>
 Providing reliable support for high priority Ad-hoc activities.
 
 
 </li>
 </ul>
 
 Necessary Skills And Abilities.
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills.
 </li>
 <li>
 Sound organizational skills
 </li>
 <li>
 Able to work within a team in an open and professional manner
 </li>
 <li>
 Excellent attention to detail and focus on quality
 </li>
 <li>
 Understanding of ICH-GCP, FDA, EMA and other relevant Global regulations related to PV
 </li>
 <li>
 Demonstrable ability to analyze and quantify large volumes of data in a concise and scientific manner, in keeping with regulatory deadlines.
 </li>
 <li>
 Awareness of global culture and willingness to work in a matrix environment
 </li>
 <li>
 Knowledge in other pharmacovigilance processes, ability to author/update SOPs or WIs, to identify and author deviations/CAPAs."
 </li>
 <li>
 Ensuring that deliverables to the clients comply with the relevant regulatory requirements and are sent to the client within agreed timelines.
 </li>
 <li>
 Capability to make concise, accurate and relevant synopses of medical text and data, and the ability to write unambiguous medical text
 </li>
 <li>
 Computer proficiency, IT skills, expertise and an ability to work with web based applications, and familiarity with the Windows Operating system and the MS Office suite (Word/Excel/Power Point)
 
 
 </li>
 </ul>
 Educational requirements
 
 
 <ul>
 <li>
 Bachelor/master&rsquo;s degree in pharmacy, Nursing, Life Science, or other health-related field, or equivalent qualification/work experience
 
 
 </li>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 2+ years&rsquo; experience in Pharmacovigilance with a focus on medical writing and/or literature search and/or signal detection
 </li>
 <li>
 Experiences in contributing to the compilation of metrics and participating in discussions about quality internally and with Clients
 </li>
 <li>
 Experience in literature screening activities and/or experiences in authoring and reviewing aggregate reports
 
 
 </li>
 </ul>
 We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.
 
 
 ***ProPharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***
</div>

Pharmacovigilance Safety Scientist

PI Health Sciences Ltd

<div>
 
 
 Job Title: Research Scientist / Senior Research Scientist &ndash; Process R&amp;D
 
 
 
 
 Department:
 
 R&amp;D &ndash; Process Development
 
 
 
 Industry:
 
 CDMO / API
 
 
 
 
 
 
 Purpose of the Role:
 
 
 
 To lead and execute the development, optimization, and scale-up of robust, cost-effective, and regulatory-compliant chemical processes for Active Pharmaceutical Ingredients (APIs) and intermediates, ensuring smooth technology transfer from lab to kilo lab and manufacturing.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Responsibilities
 
 
 <ul>
 <li>
 Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
 </li>
 <li>
 Contribute to technology differentiation strategies that enhance the CDMO&rsquo;s scientific credibility and client value proposition.
 </li>
 <li>
 Collaborate with cross-functional teams (Analytical, QA/QC, and Regulatory) to support integrated drug development solutions.
 </li>
 </ul>
 
 
 2. Operational Responsibilities
 
 
 <ul>
 <li>
 Perform route scouting and literature searches, and develop robust and scalable chemical processes using QbD principles.
 </li>
 <li>
 Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
 </li>
 <li>
 Prepare and review technical reports, SOPs, and technology transfer documents.
 </li>
 <li>
 Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
 </li>
 <li>
 Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.
 </li>
 </ul>
 
 
 3. Financial Responsibilities
 
 
 <ul>
 <li>
 Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
 </li>
 <li>
 Support cost estimation activities during project proposals or client RFQs by providing technical insights.
 </li>
 </ul>
 
 
 4. People &amp; Collaboration Responsibilities
 
 
 <ul>
 <li>
 Guide junior team members on experimental planning, data interpretation, and documentation best practices.
 </li>
 <li>
 Promote a culture of safety, learning, and innovation within the team.
 </li>
 <li>
 Work closely with program management and business development to align project goals with customer expectations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 M.Sc. (Organic Chemistry) / PhD
 </li>
 <li>
 3&ndash;7 years of experience in Process R&amp;D, preferably in CDMO organizations
 </li>
 <li>
 Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
 </li>
 <li>
 Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation
 </li>
 </ul>
 
 
</div>

Research Scientist

MetLife

<div>
 
 Requirements
 
 
 
 
 Description and Requirements
 
 
 
 
 GOSC- GG10- Data Scientist (IC)
 
 
 
 
 Position Title:
 
 
 
 Senior Data Scientist (IC)
 
 
 
 Function, Responsibility Level:
 
 
 
 
 Reports to (Responsibility Level):
 
 
 
 
 GG13 Director Data science or
 
 
 
 
 GG12 Lead Data Scientist
 
 
 
 
 Supervises:
 
 
 
 
 Location:
 
 
 
 Hyderabad/Noida
 
 
 
 Global Grade: 10
 
 
 
 
 Cost Center (85 series):
 
 
 
 ####
 
 
 
 Complexity:
 
 
 
 
 PID/s Load Mapping:
 
 
 
 
 Position Summary
 
 
 
 Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multi-year strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community.
 
 
 
 Role Value Proposition:
 
 
 
 We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife&rsquo;s enterprise functions and lines of businesses across markets.
 
 
 This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Hands on development and implementation of AI/ generative AI models &amp; algorithms to solve complex problems and drive innovation across organization.
 </li>
 <li>
 Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes.
 </li>
 <li>
 Perform data exploration, machine learning models development &amp; active collaboration with cross functional teams
 </li>
 <li>
 Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization.
 </li>
 <li>
 Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning.
 </li>
 <li>
 Drive innovation within teams, by enhancing existing solutions and designing new ones.
 
 
 
 </li>
 </ul>
 
 Knowledge, Skills, And Abilities
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s/master&rsquo;s degree in an information technology/computer science or relevant domain
 
 
 
 Experience
 
 
 
 
 Technology Skills
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in Analytics, data science or similar function
 </li>
 <li>
 Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark,
 
 
 
 </li>
 </ul>
 , R &amp; have experience in machine learning libraries &amp; frameworks such as
 
 
 TensorFlow, PyTorch, or Keras.
 
 
 <ul>
 <li>
 Strong hands-on expertise in traditional as well as modern statistical &amp; ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests &amp; other ensemble methods.
 </li>
 <li>
 Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc.
 </li>
 <li>
 Experience in technologies like Azure, AWS, and advanced analytics concepts like
 
 
 
 </li>
 </ul>
 Simulation, Deep Learning etc. are considered as a plus.
 
 
 <ul>
 <li>
 Ability to meet deadlines for product deliverables in a timely, proactive, and
 
 
 
 </li>
 </ul>
 entrepreneurial manner.
 
 
 
 General Management skills:
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills to ideate.
 </li>
 <li>
 Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management.
 </li>
 <li>
 Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.
 
 
 
 </li>
 </ul>
 
 Working Relationships
 
 
 
 
 Internal Contacts
 
 
 (And purpose of relationship):
 
 
 
 MetLife GTO Engineering, Digital Office and Global Data and analytics
 
 
 Business
 
 
 GOSC Leadership
 
 
 
 External Contacts
 
 
 
 (And purpose of relationship) &ndash; If Applicable
 
 
 Vendors
 
 
 Consultants
 
 
 
 About MetLife
 
 
 
 Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World&rsquo;s 25 Best Workplaces&trade;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
 
 
 Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible . Join us!
</div>

Data Scientist - I

<div>
 For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality &amp; compliance, pharmacovigilance, medical information, and R&amp;D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners&rsquo; most high-profile drug and device programs.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Enhance Operations teams&rsquo; knowledge of allocated databases.
 </li>
 <li>
 Help solution operational need of average handle time (talk time + ACW).
 </li>
 <li>
 Recommend and develop standard template suite of client reports.
 </li>
 <li>
 Liaison with Client Services team globally on client reporting requirements.
 </li>
 <li>
 Supporting troubleshooting both telephony and Medical Information Database issues as required and liaising with relevant skilled teams for resolution, and any necessary support of client reports and invoicing as required.
 </li>
 <li>
 Liaison with Client Services team globally on client reporting requirements.
 
 
 </li>
 </ul>
 
 Internal Reports
 
 
 
 <ul>
 <li>
 Liaise with operational management to develop and maintain inquiry volume reports to support and enhance operational insights for headcount planning, training and KPI management.
 </li>
 <li>
 Lead Business Analyst for designated Medical Information Database, generating all scheduled reports independently.
 </li>
 <li>
 Generate monthly activity summaries for client presentation as agreed with management.
 
 
 </li>
 </ul>
 
 Administration Support
 
 
 
 <ul>
 <li>
 Support the team with the creation, checking and sending of weekly and/or monthly reports from the inquiry handling systems (client or GMID). Reconciling AEs/PQCs sent with what has been logged into the logging systems.
 </li>
 <li>
 Support the administrative team with generating, checking and sending metric reports to clients within allocated deadlines.
 
 
 </li>
 </ul>
 
 Quality Assurance
 
 
 
 <ul>
 <li>
 Maintaining a good level of quality in all aspects of the job.
 </li>
 <li>
 Independently ensuring that tasks are completed within the deadlines documented in the Company SOPs and Working Practices.
 </li>
 <li>
 As directed by the manager, assisting with the developing and maintaining of processes to ensure the delivery of high-quality work for example updating of checksheets / instructions / other documents.
 
 
 </li>
 </ul>
 
 Training
 
 
 
 <ul>
 <li>
 Supporting the training of new team members as required by management.
 
 
 </li>
 </ul>
 
 General
 
 
 
 <ul>
 <li>
 Ensure the Confidentiality Statement within the Contract of Employment is adhered to at all times in respect of the data and property of ProPharma, its clients and employees of the business.
 </li>
 <li>
 Ensure any confidential information or personal data related to ProPharma and its clients is managed in accordance with Data Privacy regulations as described in ProPharma SOPs.
 </li>
 <li>
 Other duties as assigned by management.
 </li>
 <li>
 Complying with the Company&rsquo;s health and safety policies.
 </li>
 <li>
 Having a solid working knowledge of, and to comply with, the Standard Operating Procedures of ProPharma.
 </li>
 <li>
 Working in a professional manner at all times, with clients, customers, team members and management.
 </li>
 <li>
 Troubleshooting both telephony and GMID issues as required and liaising with relevant skilled teams for resolution, and any necessary support of client reports and invoicing as required.
 </li>
 <li>
 Other duties as assigned.
 
 
 </li>
 </ul>
 
 Necessary Skills And Abilities
 
 
 
 <ul>
 <li>
 Thorough knowledge of Microsoft Word, Excel, PowerPoint and Outlook is required.
 </li>
 <li>
 Service oriented.
 </li>
 <li>
 Exceptional customer service.
 </li>
 <li>
 Ability to identify and resolve problems in a timely manner.
 </li>
 <li>
 Ability to gather and analyze information skillfully while maintaining confidentiality.
 </li>
 <li>
 Effective written and oral communication skills; ability to write, type, express or exchange ideas; ability to convey information/instructions accurately.
 </li>
 <li>
 Ability to prioritize and plan work activities and use time efficiently.
 </li>
 <li>
 Ability to demonstrate accuracy and thoroughness and monitor own work to ensure quality.
 </li>
 <li>
 Adapt to changes in the work environment, manage competing demands and be able to deal with frequent change, delays or unexpected events.
 </li>
 <li>
 Observe safety and security procedures and use equipment and materials properly.
 </li>
 <li>
 Able to work unsupervised.
 </li>
 <li>
 Good interpersonal and team-working skills.
 </li>
 <li>
 Demonstrates professional, role model behavior in all aspects of the role. An ambassador for the company.
 </li>
 <li>
 Skills on data platform creation/report creation.
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Qualifications/degree in business analytics or equivalent.
 
 
 </li>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 At least 6 months prior data analyst experience or equivalent.
 
 
 </li>
 </ul>
 We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.
 
 
 All applications to roles at ProPharma are personally reviewed by a member of our recruitment team. We do not rely on AI screening tools to support our hiring process. You will always receive an outcome to your application so that you have an answer from us - whether you're successful or not.
 
 
 ***ProPharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***
</div>

Data Analyst

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
 <li>
 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
 </li>
 <li>
 Minimum 3year of SQL experience
 </li>
 <li>
 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
 </li>
 <li>
 BE/BS in Computer Science, Math, Physics, or other technical fields.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Model deployment experience will be a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is required
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 </ul>
</div>

Data Scientist

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
 <li>
 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
 <li>
 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
 <li>
 Ability to engage with senior C-level business leaders.
 </li>
 <li>
 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
 <li>
 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
 <li>
 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Explore 40+ Pharmacovigilance safety scientist in Hyderabad India this November. Find roles across top companies and apply now to boost your career.

40 pharmacovigilance safety scientist jobs IN Hyderabad India

Pharmacovigilance Safety Scientist

Research Scientist

Data Scientist - I

Data Analyst

Data Scientist - GO/JC/1384/2025

Data Scientist

Data Scientist