data scientist

Embrace Technologies Private Limited

<p><b>We&rsquo;re Hiring: Data Scientist (4+ Years Experience)</b><br/>On-Site - Gulberg Greens, Islamabad - Pakistan</p><p><b>Job Summary</b></p><p>We are looking for a <b>Data Scientist</b> who can go beyond reporting and help drive <b>real business decisions using data</b>.</p><p>This role requires someone who is comfortable working with large datasets, building models where needed, and clearly communicating insights to both technical and non-technical stakeholders.</p><p><b>Key Responsibilities</b></p><ul><li>Analyze datasets to identify <b>trends, patterns, and actionable insights</b></li><li>Build and validate <b>statistical and predictive models</b></li><li>Write and optimize <b>complex SQL queries</b></li><li>Work with business teams to <b>translate requirements into data solutions</b></li><li>Present findings in a clear and structured manner to support decision-making</li></ul><p><b>Requirements</b></p><ul><li><b>4+ years of experience</b> in Data Science or Data Analytics</li><li><b>Strong proficiency in:</b></li></ul><p><b>Python</b> (pandas, NumPy, scikit-learn or similar)<br/><b>SQL</b> (joins, aggregations, performance optimization)</p><ul><li><b>Solid understanding of:</b></li></ul><p>Statistics and data modeling<br/>Data cleaning and validation</p><ul><li><b>Strong communication skills</b> with the ability to explain insights clearly</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with:</li><li>Machine learning models in production</li><li>Data visualization tools (Power BI, Tableau, etc.)</li><li>A/B testing or experimentation</li></ul><p><b>Work Environment</b></p><ul><li><b>On-site role (no remote option)</b></li><li>Collaborative team environment with cross-functional interaction</li></ul><p><b>How to Apply</b></p><p>Apply through Indeed and include:</p><ul><li>Updated CV</li><li>Examples of projects or work demonstrating data-driven insights (if available)</li><li>Fill out this form with further details</li></ul><p><b>https://docs.google.com/forms/d/e/1FAIpQLSf0rYCvDTev4nx6QF2xjSpQVb9VlrCBNkA62L8QwJ6K6jgWyw/viewform</b></p><p>Keywords: Data Scientist, Python, SQL, Data Analytics, Machine Learning, Statistics, Data Modeling</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Data Scientist

Hidrocalido Digital Qatar

<p>Job Opportunity: Data Scientist</p><p><b>Location:</b> Doha, Qatar<br/><b>Company:</b> Hidrocalido Digital Qatar</p><p>About Us</p><p>Hidrocalido Digital Qatar is a forward-thinking technology company specializing in digital transformation, advanced analytics, and innovative IT solutions. Based in Doha, we empower organizations to harness the power of data for smarter decision-making and sustainable growth. As we expand, we are seeking a talented <b>Data Scientist</b> to join our team and drive data-driven innovation.</p><p>Role Overview</p><p>The <b>Data Scientist</b> will be responsible for analyzing complex datasets, building predictive models, and delivering actionable insights to support business strategies. This role requires strong technical expertise, creativity, and the ability to communicate findings effectively to both technical and non-technical stakeholders.</p><p>Key Responsibilities</p><ul><li>Collect, clean, and analyze large datasets from multiple sources.</li><li>Develop predictive models, machine learning algorithms, and statistical analyses.</li><li>Collaborate with business teams to identify opportunities for data-driven solutions.</li><li>Visualize data insights through dashboards and reports.</li><li>Ensure data integrity, accuracy, and compliance with company standards.</li><li>Stay updated on emerging data science tools, techniques, and trends.</li><li>Provide recommendations to improve business performance and efficiency.</li><li>Support integration of AI and advanced analytics into company systems.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>3&ndash;6 years of experience in data science, analytics, or machine learning.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong knowledge of machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).</li><li>Experience with big data platforms (Hadoop, Spark) is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to work independently and in a collaborative team environment.</li></ul><p>Why Join Us?</p><ul><li>Be part of a growing data science team in Doha.</li><li>Play a key role in shaping Hidrocalido Digital Qatar&rsquo;s analytics strategy.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Supportive, innovation-driven, and technology-focused work culture.</li></ul><p>نوع الوظيفة: دوام كامل</p><p>الراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهر</p><p>موقع العمل: بشكل شخصي</p>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role - Data Scientist(Stats Modelling)
</div><div>Experience Required - 7+ Years</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills</div><br>
<div><br>
</div><div>Programming: Proficiency in Python, R, and SQL.
</div><div>Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra.
</div><div>Machine Learning: Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch.</div><br>
<div><br>
</div><div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><div>Core Roles and Responsibilities
</div><div>Work with the Insurance Data Science teams to develop, refine, test, and deliver model monitoring capabilities. This will include building prototype data assets, calculating metrics, constructing visualizations/dashboard prototypes, and engaging in technical review with AI/ML Engineers &amp; Data Scientists.
</div><div>Looking for model ops and model monitoring support. A scientist with strong cs/engineering skills or an engineer with strong science/analytics experience. Here are the specifics we are looking for:
</div><div>The candidate may also be called upon to perform ad-hoc data/analysis requests, manage scheduled jobs in the Domino platform, collaborate with AI/ML engineers, and other as needed tasks for improving Model Ops in the Insurance Data Science team.</div><br>
<div><br>
</div><div>1. Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT maintainable solutions that follows best practices and meets appropriate coding standards.
</div><div>2. Read model development and ongoing monitoring documentation and engage with data scientists to design the needed monitoring solution for each model.
</div><div>3. Read and optimize Model development and production SQL queries to develop ground truth data sets for model monitoring activities.
</div><div>4. Design and develop prototype tables that align to USAA's data modeling and DDLC requirements for seamless traditionalization by USAA IT.
</div><div>5. Conduct thorough quality checks to ensure the accuracy and reliability of the data and processes including unit testing, run-to-run testing, etc.
</div><div>6. Code and implement solutions primarily in Python, ensuring optimal performance and scalability.
</div><div>7. Run and interpret completed model monitoring dashboards to monitor for breeches in performance and notify the respective data scientists.
</div><div>8. Work with data scientists to incorporate monitoring results into Quarto based documentation.</div><div><br>
</div>
<div></div><br>
<div>Base Salary Range : $100,000 to $140,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
</div></div></div></div><div><div><div><b>Location</b></div>
<div>San Antonio, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Data Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>411325</div>
</div><div><div><b>Desired Skills</b></div>
<div>Data Science | Statistics</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$140,000 a year</div></div></div></div><div></div>

Lincare

<div>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will help drive revenue growth, efficiency/productivity, and patient Lifetime Value. The individual will be conducting prescriptive, predictive and informational analytics to identify actionable insights. Skills required include, but are not limited to:
 <br/>
 <br/>
 <ul>
  <li>
   building machine learning algorithms
  </li>
  <li>
   data engineering
  </li>
  <li>
   natural language processing (NLP)
  </li>
  <li>
   large language models (LLMs) and any other required AI skills
  </li>
  <li>
   Technical coding skills are also required and include SQL code, R-Markdown and Python.
   <br/>
   <br/>
  </li>
 </ul>
 Through the combination of statistical knowledge, AI skills and technical coding languages, a data scientist will be required to complete any assigned analytical projects in a timely and efficient manner. Additionally, this position will be required to identify, plan and implement any other use cases for AI technology to help drive business success and improvement. They will also take a key role in the planning and development of Lincare's AI platform and strategy. Projects and long-term strategy development should always focus on business impact and have measurable outcomes for success measurement. Additionally, this position will be required to work with other teams to gain insight and to provide technical training to others.
 <br/>
 <br/>
 <strong>
  Job Functions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Responsible for data analytics / data science on massive sets of complex and, sometimes, unstructured data to prepare for statistical analysis.
  </li>
  <li>
   Manipulates or converts data according to analysis needs; and develops approaches to deal with imperfections in data (e.g. missing values or inconsistent data formatting)
  </li>
  <li>
   Identifies and executes on best approach for assigned project which may include skills including machine learning, NLP, LLMs, deep learning, neural networks or any other data science function.
  </li>
  <li>
   Develops reports using complex formulas; analyzes and reviews results for accuracy.
  </li>
  <li>
   Understands how to work with multiple data sources, and accurately accesses the correct data within complex databases based on business needs and reporting requirements.
  </li>
  <li>
   Will be comfortable interacting at all levels of technology teams both internal and external to Lincare. (project managers, database designer, information architecture, multilayer off-shore support centers, etc.)
  </li>
  <li>
   Manages projects to ensure they are delivered successfully and in a timely manner.
  </li>
  <li>
   Identifies opportunities to improve revenue, productivity/efficiency as well as enhance patient life time value using data science technologies.
  </li>
  <li>
   Performs other duties as assigned.
  </li>
  <li>
   Complies with all policies and standards.
  </li>
 </ul>
</div>


State Farm

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Being good neighbors &ndash; helping people, investing in our communities, and making the world a better place &ndash; is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!
 <br/>
 <br/>
 <strong>
  Office Locations
 </strong>
 : Bloomington, Atlanta, Dallas, Phoenix
 <br/>
 <br/>
 <strong>
  HYBRID
 </strong>
 : Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
 <br/>
 <br/>
 <strong>
  Why Join Our Data Science Team?
  <br/>
  <br/>
 </strong>
 At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally &amp; analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our data science teams also embrace staying current with the evolving data science landscape.
 <br/>
 <br/>
 <ul>
  <li>
   Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 State Farm's Rating &amp; Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of analytic solutions.
 <br/>
 <br/>
 Applicants for this posting will be considered for Data Scientist openings in:
 <br/>
 <br/>
 <ul>
  <li>
   Property &amp; Casualty Actuarial &amp; Underwriting Modeling Department (PCM): Develops models that support State Farm&rsquo;s insurance pricing and underwriting decisions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Science at State Farm
 </strong>
 :
 <br/>
 <br/>
 As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist:
 <br/>
 <br/>
 <ul>
  <li>
   Develop and validate advanced analytic models
  </li>
  <li>
   Provide input into and/or build datasets to support model development
  </li>
  <li>
   Collaborate with other team members on scoping solutions and project decision points
  </li>
  <li>
   Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  </li>
  <li>
   Lead/mentor other Data Scientists, interns, and other technical work teams
  </li>
  <li>
   Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  </li>
  <li>
   Serve as a peer reviewer to other model development teams
  </li>
  <li>
   Work on complex problems of diverse scopes
  </li>
  <li>
   Establish and leverage a network of associates with business domain and data expertise
  </li>
  <li>
   Instill a business-oriented mindset that drives the data science &amp; research agenda
  </li>
  <li>
   Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  </li>
  <li>
   Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  </li>
  <li>
   Experience with at least one statistical programming language: SAS, R, and/or Python
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Other Things We Look For:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  </li>
  <li>
   Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Can Expect:
  <br/>
  <br/>
 </strong>
 Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!
 <br/>
 <br/>
 <ul>
  <li>
   Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Benefits
  <br/>
  <br/>
 </strong>
 Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
 <br/>
 <br/>
 <ul>
  <li>
   Potential starting salary range: $102,000 - $163,000
  </li>
  <ul>
   <li>
    Starting salary will be based on skills, background, and experience
   </li>
   <li>
    High end of the range limited to applicants with significant relevant experience
   </li>
  </ul>
  <li>
   Potential yearly incentive pay up to 15% of base salary
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  </li>
  <li>
   Stay Well! Focus on you and your family&rsquo;s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  </li>
  <li>
   Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  </li>
  <li>
   Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  </li>
  <li>
   Take a Little &ldquo;You&rdquo; Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  </li>
  <li>
   Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  </li>
  <li>
   Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Visit our
 </strong>
 <strong>
  State Farm Careers
 </strong>
 <strong>
  page for more information on our
 </strong>
 <strong>
  benefits
 </strong>
 <strong>
  ,
 </strong>
 <strong>
  locations
 </strong>
 <strong>
  , and the
 </strong>
 <strong>
  hiring process
 </strong>
 <strong>
  of joining the State Farm team!
 </strong>
</div>


Booz Allen Hamilton

<div>Data Scientist<p><b>
The Opportunity:</b></p><p>
As a data scientist, you&rsquo;re excited at the prospect of unlocking the secrets held by a data set, and you&rsquo;re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a Data Scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data.</p><p></p><p>
On our team, you&rsquo;ll use your leadership skills and data science expertise to create real-world impact. You&rsquo;ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You&rsquo;ll guide and mentor your team as you oversee the development of algorithms and systems. You&rsquo;ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you&rsquo;ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you&rsquo;ll provide a deep understanding of the data, what it all means, and how it can be used.</p><p></p><p>
Work with us as we use data science for good.</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li>
Experience with data exploration, data cleaning, data analysis, data visualization, or data mining</li><li>
Experience with statistical and general-purpose programming languages for data analysis</li><li>
Experience analyzing structured and unstructured data sources</li><li>
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources</li><li>
Experience with natural language processing, text mining, or machine learning techniques</li><li>
Secret clearance</li><li>
Bachelor&rsquo;s degree</li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li>
Experience with the development of algorithms leveraging R, Python, or SQL and NoSQL</li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

Gathern

<div><p><b>Data Scientist:</b><br>
Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.</p><div><b><br>
Key Accountabilities:</b><br>
<ul><li>Develop predictive and statistical models to support business objectives</li><li>Perform data cleaning, transformation, and feature engineering</li><li>Translate business problems into analytical frameworks</li><li>Build dashboards and data visualizations for stakeholders</li><li>Conduct exploratory data analysis (EDA) to uncover trends and insights</li><li>Collaborate with Product, Marketing, and Engineering teams</li><li>Monitor model performance and ensure continuous optimization</li></ul></div><p><b><br>
Core Behavioral Competencies:</b></p><ul><li>Strategic Vision &amp; Agility &ndash; Proficient</li><li>Growth Mindset &ndash; Proficient</li><li>Scalable Execution &ndash; Proficient</li><li>People Leadership &amp; Talent Development &ndash; Basic/Proficient</li><li>Governance &amp; Ethical Conduct &ndash; Proficient</li><li>Customer Centricity &ndash; Proficient</li><li>Innovative Thinking &amp; Digital Fluency &ndash; Expert</li><li>Stakeholder Management &ndash; Proficient</li></ul><p></p><div><b>
Technical Competencies:</b><br>
<ul><li>Data Modeling &amp; Statistical Analysis &ndash; Proficient</li><li>Machine Learning &amp; Predictive Modeling &ndash; Proficient</li><li>Data Wrangling &amp; Feature Engineering &ndash; Proficient</li><li>Data Visualization &amp; Storytelling &ndash; Proficient</li><li>SQL &amp; Database Querying &ndash; Proficient</li><li>Python / R for Data Science &ndash; Proficient</li><li>Experimentation &amp; A/B Testing &ndash; Basic/Proficient</li><li>Model Deployment &amp; Monitoring &ndash; Basic/Proficient</li></ul></div><b><br>
Requirements</b><p></p><p><b><br>
Education</b>:</p><ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.</li></ul><p>
 <b>Experience</b>:</p><ul><li>4&ndash;6 years in data science or advanced analytics roles</li><li>Experience building and deploying machine learning models</li><li>Experience working with large structured and unstructured datasets</li><li>Experience collaborating with cross-functional teams</li></ul></div><p></p>

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