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Python Aws Developer

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Python Aws Developer Jobs

Freddie Mac

Infosys

Yum! Brands

Onsite

Hybrid

<p>At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.</p><p></p><p><u><span>Job Description</span></u></p><ul><li>Understand the strategic direction of product and deliver value through effective development techniques.</li><li>Implement end-to-end metadata lineage and data governance solutions.</li><li>Identify optimization scenarios and implement appropriate solutions.</li><li>Work with business SMEs and identified project partners to develop functional, non-functional, operational, and data quality requirements for Data Governance, Metadata, and Data Quality, and translate them into technical solutions.</li><li>Design and develop integration capabilities between Collibra and various data sources/systems, including on-premises and AWS cloud environments, using MuleSoft AnyPoint studio and Collibra APIs ensuring Collibra is a central governing mechanism.</li><li>Develop and maintain data extraction, transformation, and loading mappings using MuleSoft Anypoint Studio and Collibra APIs to extract metadata from multiple source systems, such as Oracle, SQL Server, DB2, MongoDB, Denodo, Hadoop, etc. into the Collibra data governance platform.</li><li>Work with business areas, data custodians, and application data owners to maintain the metadata refresh activities for all production data.</li><li>Perform analysis of schema changes in production databases and data resources, update the existing mappings in Collibra, and refresh the metadata in Collibra.</li><li>Contribute to and lead both recurring and ad-hoc development tasks within the Data Governance and Data Quality capabilities.</li><li>Develop application interfaces via APIs.</li><li>Create and configure Collibra DIC meta-model, assets relationships, domains, and communities.</li><li>Implement Collibra DIC, workflows lineage, and related components.</li><li>Conduct training sessions on importing and exporting data assets into Collibra.</li><li>Support all phases of the project development lifecycle using SDLC and Agile project methodologies.</li><li>Provide production support and resolve systems issues.</li><li>Other duties as assigned.</li><li>Position may be eligible for part-time telecommuting.</li></ul><p></p><p><u>Job Requirements</u></p><p>Master’s degree or foreign equivalent* in Computer Science, Information Technology, or a closely related technical field plus 3 years of experience in software development or data engineering occupation required. Experience must include:</p><ul><li>3 years of experience working with Collibra Data Governance Center (“DGC”) product including workflow development.</li><li>3 years of experience working with MuleSoft Anypoint integration platform.</li><li>3 years of experience working with database SQLs.</li><li>2 years of experience working with AWS Services.</li><li>2 years of experience working with Python, Java, and Unix.</li><li>2 years of experience working with Scrum and JIRA.</li></ul><p></p><p><b><i>OR</i></b></p><p></p><p>Bachelor&#39;s degree or foreign equivalent* in Computer Science, Information Technology, or a closely related technical field followed by 5 years of progressively responsible experience in a software development or data engineering occupation required. Experience must include:</p><ul><li>3 years of experience working with Collibra DGC product including workflow development.</li><li>3 years of experience working with MuleSoft Anypoint integration platform.</li><li>3 years of experience working with database SQLs.</li><li>2 years of experience working with AWS Services.</li><li>2 years of experience working with Python, Java, and Unix.</li><li>2 years of experience working with Scrum and JIRA.</li></ul><p></p><p>*Will accept educational equivalency evaluation prepared by a qualified credential evaluation service.</p><p></p><p>40 hours per week 8:45 AM to 5:15 PM.</p><p></p><p>Work location: 6555 Excellence Way, Plano, TX 75023.</p><p></p><p>If interested, submit resume or curriculum vitae via email to: im_jobs&#64;freddiemac.com &amp; reference #23-758. <b>#LI-DNI</b></p><p style="text-align:inherit"></p><p style="text-align:left"><span class="emphasis"><b>Current Freddie Mac employees please apply through the internal career site.</b></span></p><p></p><p><span>We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</span></p><p></p><p></p><p>A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy &amp; security obligations as required via training programs.</p><p style="text-align:inherit"></p><p style="text-align:left"><b>CA Applicants:  </b>Qualified applications with arrest or conviction records will be considered for employment in accordance with the <i>Los Angeles County Fair Chance Ordinance </i>for Employers and the <i>California Fair Chance Act.</i></p><p style="text-align:inherit"></p><p style="text-align:left">Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit <a target="_blank" href="http://www.bountyjobs.com/">www.BountyJobs.com</a> and register with our referral code: MAC.</p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>Time-type:Full time<p style="text-align:inherit"></p><p style="text-align:inherit"></p>FLSA Status:Exempt<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><span>Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our </span><a href="https://careers.freddiemac.com/us/en/benefits" target="_blank">Careers</a><span> site. </span></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>This position has an annualized market-based salary range of $129,000 - $193,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

Agile Development Senior

Senior data governance and software development role requiring Collibra, MuleSoft, SQL, AWS, Python/Java, and Agile expertise.

<div><h3>Job Description</h3><div><b>In the assigned Job Role of Data Science Consultant 2,  your Area Of Responsibility will be as below:</b><br>• Develop data preparation tasks, while identifying patterns or anomalies.<br> • Ensure data readiness for advanced modeling.<br> • Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.<br> • Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.<br> • Design and develop predictive models and data-driven analyses to address business challenges.<br> • Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.<br> • Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.<br> • Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.<br> • Proactively maintain models and implement improvements for accuracy and reliability.<br> • Apply governance controls to mitigate risks and ensure compliance.<br> • Analyze performance trends, recommend improvements, and document discrepancies for escalation.<br> • Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.<br> • Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.<br> • Apply the predefined quality measurement framework at an individual task level in the project.<br> • Deploy complex analytics tools or multi-system integration, while validating deployment success.<br> • Participate in developing scripts or templates for repeated deployments tasks.<br> • Contribute to analytic solutions, IP asset creation, and training initiatives.<br> • Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.<br> • Participate in and deliver analytics training, while contributing to content creation.<br> • Provide input for segment and unit-level business plans.<br> <br><br><b></b><br><b>Your contribution to the team:<b></b></b><br><br>• Deliver scalable, high-quality analytics solutions aligned to business needs.<br> • A knack for optimization, deployment and performance improvement of models.<br> • The ability to drive innovation through advanced analytics, automation and thought leadership.<br> • Enable team growth through knowledge sharing, training and standardization.<br> • Support business planning with data-driven insights.</div><h3>State / Region / Province</h3><div>Texas</div><h3>Country</h3><div>USA</div><h3>Interest Group</h3><div>Infosys Limited </div><h3>Job Role</h3><div>Data Science Consultant 2</div><h3>Company</h3><div>ITL USA </div><h3>Work Location</h3><div>Plano, TX, Richardson, TX</div><h3>External Job Title</h3><div>CPG Domain & Data Insights Lead</div><h3>EEO/About Us</h3><div><p><b>Benefits</b></p><p>Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:</p><ul><li>Medical/Dental/Vision/Life Insurance</li><li>Long-term/Short-term Disability</li><li>Health and Dependent Care Reimbursement Accounts</li><li>Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)</li><li>401(k) plan and contributions dependent on salary level</li><li>Paid holidays plus Paid Time Off</li></ul><p><b>About Us</b><br> Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.<br> <br> <b>EEO</b><br> Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.</p></div><h3>Career Role</h3><div>Lead Analyst - Data Science</div><h3>Technical/Domain Skill 1</h3><div>Technology|Cloud Platform|AWS AI/ML </div><h3>Technical/Domain Skill 2</h3><div>Domain|CPG|Category & Brand Management </div><h3>Required Skill and Experience</h3><div>•Comprehensive understanding of CPG industry processes & business value chain, including demand planning, inventory management, S&OP, and supply chain operations.</div><h3>Preferred Skill and Experience</h3><div>•Can assess and analyze the impact of system failures or delays on key business processes and KPIs (e.g., inventory updates, POS data, demand forecasting, in-store execution, RGM).<br>•Strong knowledge of data flows across ERP, POS, inventory, and forecasting systems</div><h3>Additional Required Qualifications</h3><div>• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. <br> • This position may require relocation and/or travel to work/project location.<br> • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.  Infosys is unable to provide immigration sponsorship for this role now or in the future.</div><h3>Overview</h3><div>The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.</div><h3>Additional Details</h3><div>CPG Domain & Data Insights Lead</div></div>

Data Science Consultant 2

Develop data preparation, model development and deployment, governance, and collaboration with stakeholders using SAS/R/Python.

<p>Yum Crave AI is seeking a Data Scientist (AI/ML Modeling &amp; Algorithms) to support the development and implementation of machine learning models that address operational and business needs. In this role, you will work on moderately complex modeling assignments, applying established data science techniques to deliver scalable AI/ML solutions in partnership with cross-functional teams.</p><p>This role is ideal for a data scientist who is strengthening their expertise in applied modeling and progressing toward senior-level ownership.</p><h3>Responsibilities</h3><div><p>AI / ML Model Development</p><ul style="list-style-type: disc;"><li>Develop and implement machine learning models using established approaches (regression, classification, forecasting, optimization)</li><li>Translate business and operational requirements into structured modeling problems with guidance from senior team members</li><li>Perform feature engineering, model training, validation, and evaluation using defined best practices</li><li>Contribute to improving existing models and pipelines</li></ul><p>Experimentation &amp; Model Evaluation</p><ul style="list-style-type: disc;"><li>Support the design and analysis of experiments (e.g., A/B tests, simulations) under guidance</li><li>Monitor model performance and identify opportunities for improvement</li><li>Apply standard processes to assess model quality, accuracy, and reliability</li></ul><p>Data &amp; Technical Execution</p><ul style="list-style-type: disc;"><li>Work with structured and semi-structured datasets to prepare data for modeling</li><li>Write clean, maintainable Python and SQL code</li><li>Partner with Data Engineering and ML Engineering to support model deployment</li></ul><p>Collaboration &amp; Communication</p><ul style="list-style-type: disc;"><li>Clearly communicate analytical findings to technical and non-technical stakeholders</li><li>Document assumptions, methodologies, and results</li></ul><p>Build strong working relationships within the immediate team and cross-functional partners</p></div><h3>Qualifications</h3><div><ul style="list-style-type: disc;"><li>Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics)</li><li>2+ years of experience in data science or machine learning</li><li>Experience applying machine learning techniques to real-world problems</li><li>Proficiency in Python and SQL</li><li>Understanding of model evaluation metrics and validation approaches</li></ul><p>Preferred Qualifications</p><ul style="list-style-type: disc;"><li>Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch)</li><li>Experience working in cloud environments (AWS, GCP, or Azure)</li><li>Familiarity with experimentation methodologies (A/B testing)</li><li>Experience collaborating with engineering teams on production deployments</li></ul><p>&nbsp;</p><p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(51, 51, 51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Salary Range: <span data-teams="true">106,600 - 133,200</span></p><p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(51, 51, 51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><strong>Benefits</strong>: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round and 2 paid days for volunteer time each calendar year. To learn more about working at Yum! -<a href="https://www.yum.com/wps/portal/yumbrands/Yumbrands/careers#xd_co_f=MmVjOTE4NjktNDg4YS00YzNlLWEwOWYtMjNlNWQ3OTYxNWQz~" target="_blank">Click here.&nbsp;</a></p><p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(51, 51, 51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC (“YRSG”) and Yum Connect, LLC (“Yum Digital and Technology”)(collectively, “Yum”) is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. &nbsp;We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.</p><p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(51, 51, 51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><i>US Job Seekers/Employees -&nbsp;</i><a href="https://nam11.safelinks.protection.outlook.com/?url=https://www.dol.gov/agencies/ofccp/posters&amp;data=05|01|Erica.Sherrard@yum.com|3660c56f3ee04ac9a72608dac91373e4|2ba9001dd7f943a3a0986a927ac715ca|0|0|638043382639632622|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000|||&amp;sdata=/o9fI4tiDc9ZzKCVeIn8eRmCigUkLI1hvoi21rVwESs=&amp;reserved=0" target="_blank"><i>Click here&nbsp;</i></a><i>to view the “</i>Know Your Rights<i>” poster and supplement and the Pay Transparency Policy Statement.</i></p></div>

Data Scientist (AI/ML Modeling, Forecasting & Algorithms)

Data Scientist

Bachelor's or Master's in a quantitative field; 2+ years in data science or ML; Python and SQL; ML model development and evaluation; strong communication.

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