science analyst

Skylink Distributions (Pvt.) Ltd

<p>The ideal candidate should have <b>3&ndash;4 years of professional experience in Data Analytics and Data Engineering, along with working experience in ERP systems</b>, with proven hands-on expertise in building data pipelines, performing advanced analytics, integrating ERP data sources, and deploying scalable data solutions aligned with business objectives.</p><p><b>Key Responsibilities</b></p><p><b>Data Management &amp; Analysis</b></p><ul><li>Clean, pre-process, and validate large datasets to ensure accuracy, completeness, and consistency.</li><li>Handle missing values, outliers, and data inconsistencies using appropriate statistical techniques.</li><li>Conduct exploratory data analysis (EDA) using tools such as Python, R, SPSS, or other specialised statistical software.</li><li>Develop predictive and analytical models to solve business problems and improve decision-making.</li><li>Ensure adherence to data privacy regulations and internal governance standards.</li></ul><p><b>Data Visualization &amp; Reporting</b></p><ul><li>Create clear, impactful visualizations including dashboards, charts, and analytical reports.</li><li>Present findings and strategic insights to stakeholders in a clear and actionable manner.</li><li>Translate complex analytical results into business-friendly recommendations.</li></ul><p><b>Leadership &amp; Strategy</b></p><ul><li>Lead and mentor a team of data analysts and data scientists, fostering technical growth and professional development.</li><li>Provide guidance on best practices in modeling, feature engineering, and data validation.</li><li>Stay updated with the latest data science trends, tools, frameworks, and methodologies to continuously enhance team capabilities.</li><li>Define data science strategy aligned with organizational goals.</li></ul><p><b>Data Engineering &amp; Infrastructure Collaboration</b></p><ul><li>Manage and monitor data pipelines, ensuring data integrity, security, and performance.</li><li>Collaborate with data engineers to ensure seamless integration of data solutions within the company&rsquo;s infrastructure.</li><li>Oversee deployment, monitoring, and maintenance of machine learning models in production environments.</li></ul><p><b>Cross-Functional Collaboration</b></p><ul><li>Work closely with Research Teams, Clients, and Business Units to define project goals, KPIs, and deliverables.</li><li>Act as a bridge between technical teams and business stakeholders to ensure alignment.</li><li>Communicate project progress, risks, and outcomes effectively to leadership.</li></ul><p><b>ERP &amp; Business Intelligence Integration</b></p><ul><li>Lead integration of ERP systems with data science models and business intelligence platforms.</li><li>Ensure synchronisation between operational systems and analytical frameworks.</li><li>Align ERP-driven data workflows with predictive modeling and reporting tools to support strategic decision-making.</li></ul><p><b>Required Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or related field.</li><li>Strong expertise in Python, R, SQL, and statistical modeling techniques.</li><li>Experience with BI tools (e.g., Power BI, Tableau, or similar platforms).</li><li>Proven experience in managing data pipelines and model deployment.</li><li>Experience integrating ERP systems with analytics and BI tools.</li><li>Strong understanding of data governance, security, and compliance principles.</li></ul><p><b>Core Competencies</b></p><ul><li>Leadership and team management</li><li>Strategic thinking and business acumen</li><li>Advanced analytical and statistical skills</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Data Science Analyst

Accenture

<p><b>Skill required:</b> Tech for Operations - Artificial Intelligence (AI)<br>
<b>Designation:</b> AI/ML Computational Science Analyst<br>
<b>Qualifications:</b>Any Graduation
<br>
<b>Years of Experience:</b>1 to 3 years
<br>
<b>About Accenture</b><br>
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song&mdash; all powered by the world&rsquo;s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
<br>
<b>What would you do?</b> The Prompt Engineer at Career Level 11/12 is responsible for designing, developing, and optimizing prompts for advanced artificial intelligence (AI) and natural language processing (NLP) systems. This role requires deep expertise in language modeling, prompt creation, and iterative testing to maximize the performance and accuracy of AI-driven applications. The Prompt Engineer collaborates with data scientists, software engineers, and product teams to deliver innovative solutions that drive business value. &bull; Promote a culture of innovation and continuous learning. &bull; Engage with external partners, communities, or conferences to represent the organization&rsquo;s AI capabilities.<br>
<b>What are we looking for?</b> &bull; 1 to 3 years of experience in AI, NLP, or software engineering, with a focus on prompt engineering. &bull; Strong understanding of large language models (e.g., GPT, LLaMA, PaLM) and generative AI technologies. &bull; Excellent analytical, problem-solving, and communication skills. &bull; Ability to work independently and collaboratively in a fast-paced environment. &bull; Demonstrated ability to innovate and adapt to emerging technologies and methodologies. &bull; Experience with prompt evaluation, reinforcement learning from human feedback (RLHF), or AI alignment. &bull; Familiarity with LLM Models (e.g., Azure, AWS, Google Cloud) &bull; Background in computational linguistics or human-computer interaction. &bull; Contributions to open-source AI/NLP projects or published research in the field.
<br>
<b>Roles and Responsibilities:</b> &bull; Design, develop, and refine prompts for AI/NLP models to improve their understanding, relevance, and reliability. &bull; Analyze model outputs and systematically iterate on prompt engineering techniques to enhance results. &bull; Collaborate with cross-functional teams to integrate prompt engineering solutions into products and workflows. &bull; Conduct A/B testing and performance analysis of prompts to identify areas for improvement. &bull; Document best practices, methodologies, and prompt engineering frameworks for internal use. &bull; Stay current with advancements in large language models (LLMs), generative AI, and NLP research. &bull; Educate and mentor junior team members on prompt engineering strategies and tools. &bull; Work closely with stakeholders to gather requirements and translate them into technical prompt specifications.</p>
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Any Graduation

AI/ML Computational Science Analyst

FedEx

<div><p>Executing quantitative analysis of non-standardized internal or external data to support the organizations global strategies. The primary responsibilities include assisting in producing analytical views from quantitative metrics related to business plans, actual or forecast enterprise performance, industry, competition, market, and customer segments.</p><p><b><br>
Essential Functions
</b></p><ul><li>Develops statistical reports, attends business meetings, and uses computer-aided decision support tools, programming languages, relational databases, and visualization tools to accelerate data analysis and reporting.</li><li>
Assists in producing analytical views in support of business decisions from quantitative metrics related to business plans, actual or forecast enterprise performance by revenue or volume or other dimensions, industry, competition, market and customer segments.</li><li>
Develops statistical reports to share significant metrics with the enterprise per requirements from manager or senior level peers within the team.</li><li>
Attends business meetings within and outside the team along with the manager or senior team members to understand various business functions related to the enterprise.</li><li>
Develops excellence in computer aided decision support, (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBI, Tableau, Spotfire) to accelerate data analysis and reporting.</li><li>
Provides updates up to mid-management (typically within the department).</li><li>
Perform other duties as assigned</li></ul><p><b><br>
Minimum Education</b></p><p>
Masters degree in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research. Related experience may offset degree requirements and related education/degree may offset experience requirements.</p><p></p><p><b>
Minimum Experience</b></p><p></p><p><b>
Knowledge, Skills and Abilities</b></p><p>
Strong human relations, communication, and analytical skills required.</p><p>
Knowledge of programming languages (like SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBI, Tableau, Spotfire).</p><p></p><p><b>
Job Conditions</b></p><p><b><br>
Preferred Qualifications: </b>Candidates will lead large revenue management projects and will require developing pricing strategy, gathering business requirements, leading teams, navigating internal governance and reporting progress to decision makers. Project Management, Business process engineering, Requirement gathering &amp; Strong interpersonal, organizational and communication skills.</p><p><b>
Pay Transparency: </b>This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.</p><p><b>
Pay: </b>$5,662.27/mo. - $9,342.75/mo.</p><p><b>
Additional Details: </b>This position will be hybrid in Collierville, TN and candidates must live within a 50-mile radius. Employees will be required to work at a FedEx office location up to several times per week.</p><p></p><p><b><br>
For details on our comprehensive benefits, click </b><b>here</b><b>.</b></p><p></p><p><br>
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.</p><p>
Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.</p><p>
Applicants have rights under Federal Employment Laws:</p><ul><li>
Know Your Rights</li><li>
Pay Transparency</li><li>
Family and Medical Leave Act (FMLA)</li><li>
Employee Polygraph Protection Act</li></ul><p>
E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services&rsquo; E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:</p><ul><li>
E-Verify Notice (bilingual)</li><li>
Right to Work Notice (English) / (Spanish)</li></ul></div><p></p>

Revenue Science Analyst

<div></div><div><div><div><div><ul><div>7 - 9 Years</div>
<div></div><div>1 Opening</div>
 <div>Trivandrum</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
 <div><p>Job Description for Senior Data Analyst:</p>
<div>
<ul><li><b>8+ years of professional experience</b> as a Data Analyst, Product Analyst, or similar role.</li>
<li><b>Deep hands on experience with Amplitude</b> behavioral analytics, funnels, experiments, cohorts, journeys, retention analysis, etc.</li>
<li>Strong statistical and analytical capability (A/B testing, hypothesis testing, segmentation).</li>
<li>Strong SQL skills and experience working with large datasets.</li>
<li>Experience with data visualization tools (Power BI, Tableau, Looker or similar).</li>
<li>Ability to turn raw data into clear stories and actionable recommendations.</li>
<li>Excellent written and verbal communication skills.</li>
<li>Highly analytical mindset with attention to detail.</li>
<li>Strong problem solving skills and sense of ownership.</li>
<li>Ability to work in a fast paced, collaborative environment.</li>
<li>Passion for product thinking and continuous improvement.</li>
<li><b>Product &amp; User Analytics</b></li>
<li><ul><li>Leverage <b>Amplitude</b> to analyze user behavior, product funnels, retention, activation, and engagement trends.</li>
<li>Build and maintain dashboards, cohorts, behavioral reports, and custom event analytics.</li>
<li>Work with product managers to identify opportunities for improving user experience and product adoption.</li>
</ul><h3 class="jobSectionHeader"><b>Data Insights &amp; Decision Support</b></h3>
<ul><li>Translate complex data findings into actionable insights for business and product stakeholders.</li>
<li>Conduct deep-dive analyses to uncover trends, anomalies, and strategic opportunities.</li>
<li>Present insights in a clear, structured manner to leadership and cross-functional teams.</li>
</ul><h3 class="jobSectionHeader"><b>Data Management &amp; Quality</b></h3>
<ul><li>Own end to end data validation, event instrumentation requirements, and governance for product analytics.</li>
<li>Collaborate with engineering teams to ensure accurate data tracking, schema design, and event taxonomy.</li>
</ul><h3 class="jobSectionHeader"><b>Metrics &amp; Reporting</b></h3>
<ul><li>Define key product metrics (KPIs) and establish robust reporting mechanisms.</li>
<li>Build automated reports and dashboards using Amplitude and BI tools (Power BI/Tableau/Looker).</li>
</ul><h3 class="jobSectionHeader"><b>Cross Functional Collaboration</b></h3>
<ul><li>Work closely with Product, UX, Engineering, Marketing, and Leadership teams to drive data-informed decisions.</li>
<li>Communicate findings effectively to both technical and non-technical stakeholders.</li>
</ul>
</li></ul></div></div><h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data analytics,sql,amplitude,data visualization,</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Lead II - Data Science - Data Analyst

CoReason.ai

<p><b>Scientific Literature Analyst &ndash; CoReason.ai</b></p><p><b>Commitment:</b> Full-time internship (6 months; potential for full-time offer)</p><p><b>Location:</b> Mangalore, Karnataka (Onsite)</p><p><b>Start Date:</b> Rolling</p><p><b>About CoReason.ai:</b> CoReason.ai is a fast-growing HealthTech company operating at the intersection of Life Sciences and Technology.</p><p>Our team thrives on solving complex data challenges in a high-stakes industry. At CoReason, everyone contributes hands-on to our mission in a collaborative environment that values technical rigor, curiosity, and exceptional performance.</p><p><b>About the Role: </b></p><p>We are seeking a Scientific Literature Analyst to join our scientific team.</p><p>This is not a wet-lab role. You will conduct rigorous systematic literature reviews and map complex clinical data to standardized medical terminologies. You will serve as the critical link, translating scientific and regulatory guidelines into a structured, high-quality data foundation for our research team.</p><p><b>Structure of the Role: </b></p><ul><li>Phase 1 (Month 0-6): You will join as a Trainee Research Analyst on a fixed stipend.</li><li>Phase 2 (Month 7+): Upon successful performance review, you will be converted to a Full-Time Analyst with a revised salary package and benefits.</li></ul><p><b>Key Responsibilities </b></p><ul><li><b>Literature Review &amp; Curation</b>: Extract, verify, and structure complex scientific data from clinical study reports and databases (e.g., PubMed, ClinicalTrials.gov).</li><li><b>Regulatory Intelligence</b>: Analyze global regulatory guidelines (FDA, EMA, ICH) to support compliance assessments.</li><li><b>Medical Writing</b>: Collaborate with Clinical Experts to prepare research summaries, dossiers, and evidence packages.</li></ul><p><b>What We Need (Requirements) </b></p><ul><li><b>Education</b>: M.Sc. in Biotechnology, Bioinformatics, Microbiology, Biochemistry, Physiology, or a related Life Science field.</li><li><b>Domain Knowledge</b>: Solid understanding of the Drug Discovery process, Clinical Trials (Phases I-IV), and biological pathways.</li><li><b>Research Skills</b>: Demonstrated ability to read, synthesize, and summarize complex scientific papers into clear, concise reports.</li><li><b>Tools</b>: Proficiency in Microsoft Office (Word, Excel) is mandatory.</li></ul><p><b>What We Offer</b> <b>:</b></p><ul><li><b>Real-world Impact:</b> Solve complex data challenges in a high-performance environment.</li><li><b>Mentorship:</b> Work directly with senior scientists in a flat organizational structure.</li><li><b>Career Path:</b> Opportunity to convert to a full-time Data Scientist role upon successful performance.</li><li><b>Competitive salary:</b> Fixed monthly salary with a standard 5-day corporate work week.</li></ul><p>Job Types: Full-time, Contractual / Temporary<br/>Contract length: 6 months</p><p>Pay: ₹18,000.00 - ₹22,000.00 per month</p><p>Education:</p><ul><li>Master's (Required)</li></ul><p>Location:</p><ul><li>Mangalore, Karnataka (Preferred)</li></ul><p>Work Location: In person</p>

Scientific Literature Analyst

Anblicks

<div><div><b>Mid Level Data Analyst - Healthcare</b></div><div><b>
Location: Hyderabad</b></div><div><b>
Experience: 5+ Years</b></div><div></div><div><b>
Job Description</b></div><div>
At <b>Anblicks</b>, our vision is to transform data into value for everyone. Our data services enable marketers to recognize, better understand, and deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking a Data Analyst with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Anblicks&rsquo; business.</div><div>
As part of the Data Sciences &amp; Analytics Team, you will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses. Your responsibilities include collaborating with partners to identify insights from data, come up with modeling requirements, applying creativity to test hypotheses, prepare &amp; automate data preparation processes, build models, analyze and visualize results and integrate the solution into innovative data products.</div><div></div><div><b>
What You Will Do:</b></div><ul><li><ul><li>
Research and develop an understanding of Anblicks products, tools, and processes</li><li>
Assist with the validation and delivery of products or improvements</li><li>
Prepare analysis datasets by appending data, deduping, loading data to analysis application, and merging with other datasets</li><li>
Perform queries on the data to discern data anomalies and quality audits to ensure the accuracy of the rules or statistical models prior to delivery to clients</li><li>
Monitor model performance and adjust models as directed by team leads and senior data scientists</li><li>
Perform analysis and maintenance on existing models &amp; data products as well as the recalibration or re-development of data products</li><li>
Assist with engineering, build teams, delivery and platform teams to ensure appropriate data delivery and presentation</li><li>
Perform basic research/analysis which includes accuracy reports, cross-tabs, frequencies, data hygiene, correlations, data summarizations, and profile reports</li><li>
Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation</li><li>
Offer ideas for product and/or process improvements such as automation related to focus area of work</li><li>
Utilize data and partner with data scientists to develop and build audience propensity models or data science algorithms used in creation of information products and analytical solutions for client and partner data applications</li><li>
Extract, load, and transform data as preparation for modeling. Build and maintain data mart solutions to support scored model outputs</li></ul></li></ul><div></div><div><b>
What You Will Need:</b></div><ul><li><ul><li>
Working knowledge or experience with one or more of the following tools: SQL, R, Python, Scala, Spark or similar programming language</li><li>
3&ndash;5 years experience with ETL, data transformation, data mart development, data source ingestion, data pipelining, data warehousing solutions</li><li>
4 years experience with distributed computing &ndash; Spark, Hive. Experience with Snowflake is a plus</li><li>
2&ndash;3 years of experience in Linux, shell scripting and/or similar scripting languages for automation</li><li>
Ability to demonstrate critical thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models</li><li>
Ability to quality control model development and productionization process</li><li>
Bachelor&rsquo;s Degree in a quantitative field (Applied Mathematics, Applied Statistics, Economics, or Computer Science) or related degree programs and 2 years of relevant work experience</li><li>
Ability to work independently when given detailed specification and instruction</li><li>
At least 2 years experience in building models and knowledge of ML Algorithms (GLM, Decision Tree, Boosting, Bagging Trees, SVM, regression, clustering etc.)</li><li>
At least 2 years of experience in statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Scala, Spark/pySpark</li><li>
Standout colleague, flexible, and creative</li><li>
Attention to detail and time management delivering high quality work while meeting deadlines</li><li>
Experience working with large datasets</li><li>
Experience with Tableau, Microsoft Excel, and PowerPoint</li></ul></li></ul><div></div><div><b>
What Will Set You Apart:</b></div><ul><li><ul><li>
Snowflake Data Analyst certification and health data experience</li><li>
Knowledge of Deep Learning and Neural Network-based modeling frameworks</li><li>
Familiarity with cloud environments (e.g., AWS, Google Cloud Platform, Azure etc.)</li></ul></li></ul></div>

Mid Level Data Analyst - Healthcare

Kenvue

<div>
 <strong>
  Kenvue Is Currently Recruiting For A:
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 Analyst, Data Science
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   What We Do
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 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.
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   Who We Are
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 Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
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   Role Reports To:
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 Digital Solutions Manager
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  Location:
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 Asia Pacific, India, Karnataka, Bangalore
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  Work Location:
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 Hybrid
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   What You Will Do
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 Kenvue is currently recruiting for:
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  Analyst, Data Science [Forecasting]
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 This position reports to the Manager, Digital Solutions and is based at Bangalore, India.
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 <strong>
  <strong>
   Who We Are
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   <br/>
  </strong>
 </strong>
 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson&rsquo;s and BAND-AID&reg; Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
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  Role reports to:
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 Manager, Digital Solutions
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  Location:
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 Bangalore, India
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  Travel %:
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 up to 10%
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   What You Will Do
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 A typical day will involve collaborating with software engineers and business groups. Your work will involve utilizing Python and SQL to implement and improve upon demand forecasting algorithms, by testing model improvements, running computational experiments, and fine-tuning model parameters. Deployment of sophisticated multivariate algorithms will improve upon existing approaches and discovering new data sources to further build upon current capabilities. As a successful data scientist in demand forecasting, you would be an analytical problem solver who enjoys diving into data, is passionate about investigations and algorithms, and can credibly interact between technical teams and business partners. A key capability in the collaboration is to have users of the forecasts understand how it is built up, its expected behavior and what is and is not considered, thus building trust in the models to drive usage.
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 Key Responsibilities
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   Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
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   Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
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   Solid understanding of time-series forecasting techniques
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   Good hands-on skills in both feature engineering and hyperparameter optimization
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   Able to write clean and tested code that can be maintained by other software engineers
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   Able to clearly summarize and communicate data analysis assumptions and results
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   Able to craft effective data pipelines to transform your analyses from offline to production systems
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   Self-motivated and a proactive problem solver who can work independently and in teams
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   Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions
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   Is collaborative and engages (strategic &amp; tactical. Able to influence without authority, handle complex issues and implement positive change
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  Required Qualifications
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  What We Are Looking For
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   Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field.
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   2 &ndash; 3 years of total work experience as data scientist or analytical role, with at least 1 project in time series forecasting
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   A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
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   Hands on experience in Time Series Forecasting and Demand Planning
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   Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
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   Good hands-on skills in both feature engineering and hyperparameter optimization
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   Experience producing high-quality code, tests, documentation
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   Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization &amp; forecasting techniques, and / or deep learning methodologies
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   Proficiency in statistical concepts and ML algorithms
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   Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
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   Self-motivated and a proactive problem solver who can work independently and in teams
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   Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams
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  Desired Qualifications
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   Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred
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   Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred
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   Experience in creating CI/CD pipelines for deployment using Jenkins.
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   Experience implementing MLOPs framework along with understanding of data security
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   Implementation on ML models
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   Exposure to visualization packages and Azure tech stack.
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 <strong>
  <strong>
   What&rsquo;s In It For You
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Competitive Total Rewards Package*
  </li>
  <li>
   Paid Company Holidays, Paid Vacation, Volunteer Time &amp; More!
  </li>
  <li>
   Learning &amp; Development Opportunities
  </li>
  <li>
   Employee Resource Groups
  </li>
  <li>
   This list could vary based on location/region
  </li>
  <li>
   Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment &amp; hiring process.
   <br/>
   <br/>
  </li>
 </ul>
 Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.
 <br/>
 <br/>
 If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
</div>


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