data scientist

consultant insights & analytics (data science) Jobs in Hyderabad

consultant insights & analytics (data science)

consultant- business value & strategy Jobs in Hyderabad

consultant- business value & strategy

data analyst

data analytics analyst [t500-21705] Jobs in Hyderabad

data analytics analyst [t500-21705]

consultant insights analytics data science

Chryselys

<div>
 
 We&rsquo;re Hiring: Consultant &ndash; Insights &amp; Analytics at Chryselys
 
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Department:
 
 Insights &amp; Analytics
 
 
 
 Job Type:
 
 Full-time
 
 
 
 Reports To:
 
 Manager
 
 
 
 About Us
 
 
 
 
 Chryselys
 
 is a Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
 
 
 We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
 
 
 
 Who We Are
 
 
 
 
 People -
 
 Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
 
 
 
 Quality -
 
 Our goal is to deliver the value of a big five consulting company without the big five cost.
 
 
 
 Technology
 
 - Our solutions are Business centric built on cloud native technologies.
 
 
 
 Role Overview
 
 
 
 As a Data Scientist Consultant at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e.g., IQVIA, Symphony, Veeva, Open data) and provide actionable insights.
 </li>
 <li>
 Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources.
 </li>
 <li>
 Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.).
 </li>
 <li>
 Collaborate with cross-functional teams to translate business problems into data science solutions.
 </li>
 <li>
 Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients.
 </li>
 <li>
 Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling.
 </li>
 <li>
 Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions.
 </li>
 <li>
 Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Education: Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.
 </li>
 <li>
 Experience: 5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.
 </li>
 <li>
 Skills:
 </li>
 <li>
 Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.
 </li>
 <li>
 Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.
 </li>
 <li>
 Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.
 </li>
 <li>
 Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.
 </li>
 <li>
 Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.
 </li>
 <li>
 A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/
 
 
 Please include your resume and a cover letter detailing why you&rsquo;re the perfect fit for this role.
 
 
 
 Equal Employment Opportunity
 
 
 
 Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 
 Connect With Us
 
 
 
 Follow us for updates and more opportunities: https://www.linkedin.com/company/chryselys/mycompany/
 
 
 
 Discover more about our team and culture:
 
 www.chryselys.com
</div>

Consultant Insights & Analytics (Data Science)

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science Engineer

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>

Data Scientist

Inspire

<div>
 
 
 About Inspire Brands:
 
 
 
 Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company&rsquo;s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company&rsquo;s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Build and maintain HR dashboards, and metrics to track and measure key HR performance indicators.
 </li>
 <li>
 Collaborate with HR business partners, talent acquisition, compensation and benefits, and other stakeholders to understand their analytical needs and provide customized dashboards and insights.
 </li>
 <li>
 Stay updated with the latest HR analytics trends, tools, and technologies and recommend innovative solutions to enhance HR data Analyst capabilities.
 </li>
 <li>
 Provide training and guidance to HR team members on data techniques and tools.
 </li>
 <li>
 Ensure data accuracy, integrity, and security in all HR analytics processes and systems.
 </li>
 <li>
 Present findings, insights, and recommendations to senior management and key stakeholders in a clear and concise manner.
 </li>
 <li>
 Collect, analyze, and interpret HR data from multiple sources, including HRIS systems, employee surveys, performance reviews, and other relevant data sets.
 </li>
 <li>
 Identify trends, patterns, and correlations in HR data to provide insights and recommendations for HR initiatives and strategies.
 </li>
 </ul>
 
 
 
 
 
 EXPERIENCE QUALIFICATION:
 
 
 
 
 Required Minimum: 2-4 years of relevant experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in human resources, statistics, business administration, or a related field experience preferred.
 </li>
 <li>
 Proven previous Workday experience.
 </li>
 <li>
 Proficiency in statistical analysis, data mining, and data visualization tools (e.g., Workday, Excel, Tableau, Power BI, etc.).
 </li>
 <li>
 Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
 </li>
 <li>
 Effective communication and presentation skills to effectively convey complex findings to non-technical stakeholders.
 </li>
 <li>
 Ability to work independently, manage multiple projects simultaneously, and meet tight deadlines.
 </li>
 <li>
 Attention to detail and a high level of data accuracy and integrity.
 </li>
 <li>
 Self-starter with the ability to effectively influence and communicate, build strong relationships, and become a trusted advisor and change agent.
 </li>
 </ul>
 
 
 
 
 
 REQUIRED KNOWLEDGE, SKILLS, OR ABILITIES:
 
 
 <ul>
 <li>
 Experienced Workday superuser with deep understanding of people analytics and PRISM modules.
 </li>
 <li>
 Ability to move quickly from big picture thinking and manage relevant detail.
 </li>
 <li>
 Demonstrated desire to challenge the status quo and &ldquo;how it is always been done&rdquo; to drive the team to new ways of thinking and processes.
 </li>
 <li>
 Has passion for the restaurant industry and excitement for learning about restaurant operations.
 </li>
 <li>
 Strong communicator can work collaboratively across the enterprise and effectively manage expectations across distributed stakeholders.
 </li>
 <li>
 Maintains flexibility and influences others to do the same.
 </li>
 </ul>
 
 
 
 
 
 Equal Employment Opportunity Policy
 
 
 
 
 EEO-1 Statement
 
 
 
 It is the policy of Inspire Brands Inc.&trade; (&ldquo;IRB&rdquo; or the &ldquo;Company&rdquo;) to treat all employees and applicants for employment fairly and to provide equal employment opportunities without regard to race, color, sex, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law. This policy applies to all employment practices including recruiting, hiring, placement, pay, promotions, transfers, training, leaves of absence, and termination.Inspire Brands, Inc. expressly prohibits any form of unlawful employment harassment based on race, color, sex, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law. Improper interference with the ability of IRB&rsquo;s employees to perform their expected job duties will not be tolerated.
 
</div>

Data Analytics Analyst [T500-21705]

Signant Health

<div>
 
 About Signant Health
 
 
 
 At Signant Health, we are on a mission to help bring life-changing treatments to patients faster. As a global leader in clinical trial technology and services, we operate at the intersection of science and innovation&mdash;partnering with biopharmaceutical companies to simplify trial execution and enhance the patient experience. With a collaborative culture, cutting-edge digital solutions, and a focus on real-world impact, Signant is where your work drives meaningful change in global healthcare.
 
 
 
 Role Purpose
 
 
 
 Data, Analytics, Reporting and Tools (DART) team is a core unit serving all of Global Operations with a mandate to enhance decision-making by maximizing data analytics capabilities to transform information into insights and better outcomes. This data and analytics driven approach plays a pivotal role within Operations to enable how we deliver projects, confirming to our goals related to on-time, on-budget and with the highest levels of customer satisfaction.
 
 
 Under the direction of department and company leadership, implements and maintains a comprehensive suite of metrics and key performance indicators (KPIs) to monitor functional, departmental, customer, product, and project level execution. Uses expertise in data visualization and analytics to develop dynamic online reports for monitoring and forecasting operational performance.
 
 
 
 As part of our team, your main responsibilities will be:
 
 
 
 <ul>
 <li>
 Participate in requirements gathering sessions with stakeholders,
 </li>
 <li>
 Studying, analyzing and understanding business requirements in context to business intelligence.
 </li>
 <li>
 Work closely with Senior analysts and business stakeholders to create meaningful visualizations and reports
 </li>
 <li>
 Design and create dynamic online reports using SQL, XML, MS Power Bi, and/or Qlik Sense
 </li>
 <li>
 Help Maintain dashboards and reports, connected to various data sources, and ensuring our teams have the information they need to make informed decisions. Partner as needed with the technical development team in the design of the database and data structures to optimize reporting of data.
 </li>
 <li>
 Help clean and prepare data for analysis, identify trends and patterns in business metrics, and respond to ad-hoc reporting requests from different departments.
 </li>
 <li>
 Develop strong data documentation about algorithms, parameters, and models.
 </li>
 <li>
 Provide a high-quality service and on time delivery of report sets for operational leadership.
 
 
 </li>
 </ul>
 
 Decision Making and Influence
 
 
 
 Will be required to make decisions on the best technical approach to implement communicated and/or documented requirements.
 
 
 Will use knowledge and skills to derive solutions that meet service delivery needs and expectations.
 
 
 
 You&rsquo;ll need to bring:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Business, Statistics, Computer Science, or a related field
 </li>
 <li>
 Should have 2 -3 years&rsquo; experience on Microsoft Power BI
 </li>
 <li>
 Hands on experience on SQL
 </li>
 <li>
 Strong analytical thinking and problem-solving abilities, along with excellent attention to detail and accuracy.
 </li>
 <li>
 Strong interpersonal and communication skills, both verbal and written.
 
 
 </li>
 </ul>
 
 We&rsquo;d be thrilled to hear that you also have:
 
 
 
 <ul>
 <li>
 Ability to work under rapid timelines with changing priorities; remains calm under pressure and can handle multiple tasks at any one time.
 </li>
 <li>
 Ability to work across functions in a matrix organization
 </li>
 <li>
 A passion for metrics and driving towards objective results, with presentation experience at any stakeholder level.
 
 
 </li>
 </ul>
 At Signant Health, accepting difference isn&rsquo;t enough&mdash;we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients and our community. Signant Health is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.
</div>

Analyst Operational Services

<div>
 
 Overview
 
 
 
 Join Microsoft in this amazing opportunity as a Product Manager II launching innovative and impactful AI -ready solutions across Microsoft&rsquo;s Devices Operations business. As a Product Owner, you will help lead the development and implementation of AI solutions and AI-ready architecture by partnering with engineering and business stakeholders to translate requirements into actionable plans, prioritize and manage backlogs, and deliver programs that drive measurable business value. You will own the rhythm of execution, managing sprints, schedules, and release plans while monitoring product performance and ensuring that solutions are adopted successfully. Acting as both a program driver and a trusted advisor, you will identify trends in product quality and performance, guide continuous improvement, and influence technical decisions that align to business priorities. Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner with engineering and solution managers to define product features, translate them into engineering requirements, and maintain a clear and prioritized backlog. - Lead the day-to-day execution rhythm including sprint planning, backlog grooming, stand-ups, sprint reviews, and retrospectives, ensuring alignment on goals and delivery outcomes. - Manage schedules, dependencies, and release plans, proactively surfacing risks and driving mitigation across teams. - Define, track, and report on key product metrics (OKRs, KPIs) to measure adoption, performance, and business impact of AI solutions. - Collaborate with stakeholders to validate requirements, gather feedback, and align on trade-offs that balance business priorities with technical feasibility. - Drive release readiness and rollout activities to ensure smooth deployment and effective adoption of AI capabilities. - Identify patterns and trends in product quality, performance, and usage, using insights to guide continuous improvement. - Model accountability, curiosity, and collaboration in daily work by building trust across teams, owning outcomes, and leading by example.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 2+ years experience in engineering, product/technical program management, data analysis, or product development - OR equivalent experience.
 
 
 </li>
 </ul>
 Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Information Technology (IT), Data Science, Business Analytics, Business, Finance, Mathematics, or related field AND 5+ years experience in change management, project management, customer engagement, sales/business engagement, relationship management, analytics, or customer feedback and intelligence program management - OR Master's Degree in Computer Science, Information Technology (IT), Data Science, Business Analytics, Business, Finance, Mathematics, or related field AND 3+ years experience in consulting, change management, project management, customer engagement, sales/business engagement, relationship management, analytics, or customer feedback and intelligence program management
 </li>
 <li>
 Agile Methodology or Scrum certifications or experience Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Product Manager II

Tredence Inc.

<div>
 
 
 About the Company
 
 
 
 
 
 
 Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and South East Asia.
 
 
 We are seeking an experienced data scientist who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data&rsquo;s full potential.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 <ol>
 <li>
 Strong in Agile, architecture reviews, CI/CD, and DevOps processes.
 </li>
 <li>
 9 to 14 yrs years of experience leading software delivery teams across Java, React, and GenAI domains.
 </li>
 </ol>
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Proven experience in project execution
 </li>
 <li>
 Stakeholder communication
 </li>
 <li>
 People management
 </li>
 <li>
 Ability to guide teams technically while driving delivery excellence and process efficiency
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 PMP/CSM certification preferred
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Experience in Java
 </li>
 <li>
 Experience in React
 </li>
 <li>
 Experience in GenAI domains
 </li>
 <li>
 Strong Agile skills
 </li>
 <li>
 Architecture reviews
 </li>
 <li>
 CI/CD processes
 </li>
 <li>
 DevOps processes
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 <ul>
 <li>
 PMP certification
 </li>
 <li>
 CSM certification
 </li>
 </ul>
 
 
 
 
 Tredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees. Visit our website for more details: https://www.tredence.com/
 
 
 
</div>

Engineering Manager – JAVA

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