data scientist

Neara

<div>
 Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
 <br/>
 <br/>
 We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
 <br/>
 <br/>
 By simulating extreme weather and structural stress at a network-wide scale, we empower the world&rsquo;s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
 <br/>
 <br/>
 Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
 <br/>
 <br/>
 <strong>
  Data Scientist
  <br/>
  <br/>
 </strong>
 As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation, structural loading, and electrical connectivity. Your work will drive product direction with high visibility, highlight grid expansion opportunities, identify aging and risky infrastructure, and help our customers understand where to build and invest. Working alongside ML Engineers and product-facing engineering teams, your ideas will ultimately take shape as new product features that expand what Neara is capable of doing, and as new infrastructure buildouts for the energy grid itself.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Model accurate digital twin electric networks from imperfect data using AI, deep learning, and classical ML algorithms.
  </li>
  <li>
   Surface meaningful analytics and metrics such as wildfire risk that help guide customer buildout of electrical infrastructure.
  </li>
  <li>
   Advise the company on what our data says and use that understanding to inform Neara&rsquo;s strategy.
  </li>
  <li>
   Conduct experiments and A/B tests to improve our modeling of the grid.
  </li>
  <li>
   QA and improve our predictive models; identify data issues such as distribution drift, overfitting, or test set leakage.
  </li>
  <li>
   Craft scalable data pipelines to work with a variety of data sources, including LiDAR, aerial photography, photogrammetry and GIS.
  </li>
  <li>
   Mentor others in best practices for model training, data analytics, and building data-driven products.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A data scientist, ML scientist, data engineer, or similar with 3-6 years of experience at technical, data-driven companies operating in complex environments. Geospatial data or power grid experience are a plus.
  </li>
  <li>
   You have a strong intuition for data with good communication skills and experience sharing your findings with customers and senior leaders.
  </li>
  <li>
   Demonstrated experience with AI and Machine Learning and a keen intuition for data modeling.
  </li>
  <li>
   Experience translating your models into both experiments and deployable software.
  </li>
  <li>
   Proficiency in data storage and ETL technologies, such as Parquet, Databricks, Snowflake, PostgreSQL, Spark, and DynamoDB.
  </li>
  <li>
   Comfort working in an AWS cloud environment.
  </li>
  <li>
   Excellent problem-solving skills as applied to new domains.
  </li>
  <li>
   Ability to work effectively asynchronously and cross-functionally on novel, cutting-edge problems.
  </li>
  <li>
   Ability to own problems and proactively approach challenges.
  </li>
  <li>
   Prior experience in the energy industry is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with a sophisticated, multi-modal data stack, including LiDAR, satellite imagery, and physics-enabled digital twins, to solve high-stakes engineering problems that most data scientists only see in theory.
  </li>
  <li>
   Your models will directly prevent wildfires and mitigate disaster risks across millions of kilometers of infrastructure, moving beyond "digital metrics" to harden the real-world energy grid.
  </li>
  <li>
   You won't just build models; you&rsquo;ll advise the company on data strategy and see your experiments evolve into core product features that dictate how the world&rsquo;s largest utilities invest.
  </li>
  <li>
   We offer a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our mission and benefit directly from the company&rsquo;s rapid global scale.
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $160K - $190K
</div>


Data Scientist

University of Pittsburgh

<div><div><p><b>Data Scientist</b></p></div><div>
Med-Surgery - Pennsylvania-Pittsburgh - (26003318)</div><div></div><div><p><b><br>
Required Qualifications:</b></p><ul><li><p>
Master&rsquo;s degree in Data Science, Biostatistics, Health Informatics, Public Health, epidemiology, biostatistics or a related field</p></li><li><p>
Demonstrated proficiency with Power BI and/or Tableau for dashboard development and data visualization</p></li><li><p>
Strong working knowledge of Microsoft Excel, including pivot tables and data modeling</p></li><li><p>
Ability to interpret and communicate complex data findings to clinical and non-technical audiences</p></li><li><p>
Strong attention to detail and commitment to data accuracy and integrity</p></li><li><p>
Excellent written and verbal communication skills</p></li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li><p>
Prior experience in healthcare, hospital, or clinical research data environment</p></li><li><p>
Experience working with large, complex datasets in a clinical or regulated industry setting</p></li><li><p>
Familiarity with healthcare registries, data submissions, or outcomes reporting structures</p></li><li><p>
Proficiency in statistical or querying tools such as SQL, SAS, R, or Python</p></li><li><p>
Knowledge of federal healthcare compliance requirements or quality regulatory framework</p></li><li><p>
Exposure to QAPI methodologies or continuous quality improvement practices</p></li><li><p>
Experience working in clinical transplantation with an understanding of transplantation-related terminology is a plus</p></li></ul></div><div><div><b>
Job Summary</b></div><p>
Assists in the execution of research objectives, data collection, and data management. Performs routine procedures, statistical analysis, scientific analysis, and reporting. Integrates data and data sets, performs descriptive and exploratory analysis, and creates routine reports and analysis reporting tools. Utilizes statistical software and adheres to all protocols.</p></div><div><div><b>
Essential Functions</b></div><p>
Data Analysis &amp; Performance Monitoring</p><ul><li><p>
Design and maintain data visualizations and dashboards that inform QAPI and quality performance improvement activities</p></li><li><p>
Track and trend key transplant program performance metrics across clinical, operational, and outcomes domains</p></li><li><p>
Conduct analyses of transplant clinical outcomes across multiple organ programs, including benchmarking against national standards such as SRTR risk-adjusted models</p></li></ul><p>
Data Integrity &amp; Regulatory Compliance</p><ul><li><p>
Assist in the preparation, validation, and reconciliation of data submissions internal and external to the program</p></li><li><p>
Identify and resolve discrepancies between internal EMR records and registry submissions</p></li><li><p>
Apply knowledge of federal regulations and transplant-specific policy to ensure alignment with CMS and OPTN data requirements</p></li><li><p>
Implement data management best practices to ensure accuracy, consistency, and integrity across registry submissions and internal reporting</p></li><li><p>
Support data readiness activities for CMS and OPTN program surveys</p></li></ul><p>
Reporting &amp; Strategic Support</p><ul><li><p>
Respond to routine and ad hoc data requests from transplant physicians, program directors, and hospital leadership, communicating findings clearly to clinical and non-technical stakeholders</p></li><li><p>
Translate complex clinical and operational data into clear analyses and presentations for program and hospital leadership</p></li><li><p>
Deliver timely and actionable insights that inform operational and strategic decision-making</p></li><li><p>
Maintain data dictionaries and documentation for all recurring reports and dashboards</p></li><li><p>
Support innovation in data tools and analytic methodologies, including emerging technologies, to advance the program&rsquo;s data infrastructure</p></li></ul></div><div><div><b>
Physical Effort</b></div><p>
The incumbent must be able to stand and walk for long periods of time. Must be able to see and have use of both hands.</p></div><p></p><div><p><i><br>
The University of Pittsburgh is an equal opportunity employer / disability / veteran.</i></p><div><br>
</div></div><div><div><b>
Assignment Category</b></div> Full-time regular</div><div><div><b>
Job Classification</b></div> Staff.Data Scientist I</div><div><div><b>
Job Family</b></div> Research</div><div><div><b>
Job Sub-Family</b></div> Data Science</div><div><div><b>
Campus</b></div> Pittsburgh</div><div><div><b>
Minimum Education Level Required</b></div> Master's Degree</div><div><div><b>
Minimum Years of Experience Required</b></div> No experience required</div><div><div><b>
Will this position accept substitution in lieu of education or experience? </b></div>Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.</div><div><div><b>
Work Schedule</b></div> 8:30am - 5:00pm M-F</div><div><div><b>
Work Arrangement</b></div> Hybrid: Combination of On-Campus and Remote work as determined by the department.</div><div><div><b>
Hiring Range</b></div> To be determined based on qualifications</div><div><div><b>
Relocation Offered</b></div> No</div><div><div><b>
Visa Sponsorship Provided</b></div> No</div><div><div><b>
Background Check</b></div> For position finalists, employment with the University will require successful completion of a background check</div><div><div><b>
Child Protection Clearances</b></div> Not Applicable</div><div><div><b>
Required Documents</b></div> Resume</div><div><div><b>
Optional Documents</b></div> Cover Letter</div></div>

Allegheny County Department of Human Services

<div><p><b>Data Science at DHS</b></p><p></p><p><br>
At Allegheny County Department of Human Services (DHS), our mission is to improve the welfare of the County&rsquo;s most vulnerable residents. We operate, influence, and fund essential services worth over $1 billion that more than 200,000 residents depend on each year, including treatment for mental health and addiction, homeless housing, and child and older adult protective services. Over the past 20 years, we have built a national reputation for being on the cutting edge of state and local governments using analytics and technology to deliver more effective and efficient public services. While we know much more about the use of analytics and software than when we first started, we still have much to learn. Above all, we are convinced that there remain significant opportunities for data and technology to improve the lives of our clients, and for DHS to extend its leadership role in inspiring governments to make similar investments.</p><p></p><p><b><br>
Data Scientist</b></p><p></p><p><br>
We&rsquo;re looking for an engineering focused data scientist or software engineer/systems architect with a mix of experience or interest in machine learning (predictive modeling) or economics (applied microeconomics and causal inference) to come join our data science team. The Data Scientist will work to construct software for leveraging nationally recognized, integrated human services data and partner with world-class academics to help drive research that improves outcomes for our most vulnerable residents. Our bet is that great talent, even in time-limited commitments, can result in a step function improvement in the quality of work in local government.</p>
<p>
The data science team owns DHS&rsquo;s measurement problems and predictive models, with a team charter of: (1) creating feedback loops on our performance by learning about the efficacy of programs and interventions and informing DHS&rsquo;s funding commitments; (2) augmenting human judgement to improve operations and optimize constrained resources, such as case worker bandwidth; and (3) developing high quality reusable software that allows us to deliver inference at scale. The data scientists will collaborate closely with our 40-person Analytics team, Technology team, program managers, and senior leadership to help identify what works and why, iterate and experiment with new approaches to service delivery, improve human decision making, build better software, and convert analytics into automated, extensible products.</p>
<p>
Strong candidates for the role will be clear, organized thinkers about complicated empirical questions, have a bias toward simplicity over methodological complexity, and possess a sound grasp of the fundamentals in their field. With our nationally recognized integrated data and talented teammates to support empirical work, ideal candidates will be intellectually curious and fearless about tackling difficult, unsolved problems for the department.</p><p></p><p><b><br>
We are looking for someone who:</b></p><br>
<p></p><ul>
<li>
Has a core competency in python and abstract, hierarchical design as well as some experience with statistical and machine learning modeling.</li>
<li>Has a graduate degree or significant experience in computer science or related field.</li>
<li>Has a track record of developing high-quality, well-structured, and maintainable software applications</li>
<li>Experience with applied research and/or industry experience in building machine learning or causal models to answer real-world problems.</li>
<li>Balances speed of delivery with upholding high standards on quality.</li>
<li>Has a desire to develop, test, and QC software to facilitate end-to-end applied research.</li>
<li>Maintains a flexible approach to problem solving, prioritizing impact over technical complexity.</li>
<li>Has knowledge of a statistical programming language such as Python, R, or Stata and familiarity with a programming language for querying structured data.</li></ul><br>
<p></p>
<p><b>
Application</b></p><br>
<p></p><ul>
<li>
Resume and/or LinkedIn profile</li></ul><br>
<p></p>
<p>
If you&rsquo;re concerned that you don&rsquo;t have all of the parts of a successful application, we still highly encourage you to apply. Data science is always a healthy mix of modeling and engineering, and we do not expect every candidate to be fully qualified across all subfields.</p><br>
<p></p>
<p><b><i>
If hired for a position, candidates would work for Allegheny County, Department of Human Services and be employed by CAI.</i></b></p>
<p>
 <b>&ldquo;</b><b><i>DHS strives to be the kind of place where a diverse mix of talented people want to come to grow and do their best work.&rdquo;</i></b></p>
<ul><li>From the organization&rsquo;s statement on Equity and Inclusion</li></ul><br>
<p></p>
<p>
 <b><i>AN EQUAL OPPORTUNITY EMPLOYER - M/F/V/D</i></b></p></div><p></p>

SARIM BUILDING MATERIALS TRANDING L.L.C

<p>SARIM BUILDING MATERIALS TRANDING L.L.C is a growing company specializing in the trading and supply of high-quality building materials across the UAE market. We are committed to innovation, operational excellence, and data-driven decision-making to support our continued growth and customer satisfaction.</p><p>Position Overview</p><p>We are looking for a highly motivated and analytical Data Scientist to join our team. The ideal candidate will be responsible for analyzing complex datasets, building predictive models, generating business insights, and supporting strategic decision-making across sales, operations, supply chain, and customer management.</p><p>Key Responsibilities</p><ul><li>Collect, clean, and analyze large datasets from multiple business sources</li><li>Develop predictive models and machine learning algorithms</li><li>Create dashboards and reports for business stakeholders</li><li>Identify trends, patterns, and opportunities for business optimization</li><li>Work closely with management and operational teams to improve decision-making</li><li>Automate reporting and analytical processes</li><li>Conduct statistical analysis to support business growth strategies</li><li>Monitor KPIs and recommend data-driven improvements</li><li>Ensure data accuracy, integrity, and security</li></ul><p>Requirements</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or related field</li><li>Proven experience as a Data Scientist or Data Analyst</li><li>Strong knowledge of Python, SQL, and data visualization tools</li><li>Experience with machine learning frameworks and statistical modeling</li><li>Familiarity with Power BI, Tableau, or similar BI tools</li><li>Excellent analytical and problem-solving skills</li><li>Strong communication and presentation abilities</li><li>Experience in trading, retail, supply chain, or construction industry is a plus</li></ul><p>Preferred Skills</p><ul><li>Knowledge of cloud platforms (AWS, Azure, or Google Cloud)</li><li>Experience with ERP and business management systems</li><li>Understanding of forecasting and inventory optimization</li></ul><p>What We Offer</p><ul><li>Competitive salary package</li><li>Professional growth opportunities</li><li>Dynamic and collaborative work environment</li><li>Opportunity to work on real business challenges with impactful data solutions</li></ul><p>Pay: AED23,450.00 per month</p><p>Work Location: In person</p>

Steampunk

<div>Overview:
<div>
We are seeking a<b> </b><b>Data Scientist</b> to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role requires strong analytical and modeling skills, hands-on experience with ML frameworks, and the ability to collaborate across engineering, data, and product teams. The Data Scientist will contribute to the full lifecycle of model development, from data exploration and feature engineering to model training, evaluation, and deployment, while supporting the articulation of insights and recommendations to technical and non-technical stakeholders.</div>
Contributions:
<ul><li>Conduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities.</li><li>
Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries.</li><li>
Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance.</li><li>
Evaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements.</li><li>
Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent.</li><li>
Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production environments or decision-support applications.</li><li>
Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders.</li><li>
Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback.</li><li>
Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories.</li><li>
Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows.</li><li>
You will contribute to the growth of our AI &amp; Data Exploitation Practice!</li></ul>
Qualifications:
<ul><li>Ability to hold a position of public trust with the U.S. government.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field.</li><li>
4+ years of experience building and evaluating machine learning models or performing advanced analytics.</li><li>
Proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib/Seaborn).</li><li>
Hands-on experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, XGBoost).</li><li>
Experience writing efficient SQL queries and working with structured or semi-structured data in cloud or database environments.</li><li>
Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks.</li><li>
Strong understanding of statistics, probability, experimental design, and model validation techniques.</li><li>
Ability to communicate technical concepts clearly to stakeholders and collaborate across multidisciplinary teams.</li><li>
Experience with dashboarding tools (Tableau, Power BI) or Python visualization libraries is a plus.</li><li>
Curiosity and adaptability, with a drive to stay current in rapidly evolving data and ML practices.</li><li>
Relevant certifications (helpful but not required): Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer.</li></ul>
About <b>steampunk</b>:
<div>
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk&rsquo;s total compensation package for employees. Learn more about additional Steampunk benefits here.</div><div><br>
</div><div><b>Identity Statement</b></div><div>
As part of the application process, 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.</div><div></div><div><br>
Steampunk is a <b>Change Agent</b> in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our <b>Human-Centered delivery methodology</b>, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an <b>employee owned company</b>, we focus on investing in our employees to enable them to do the greatest work of their careers &ndash; and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.</div></div><div></div>

DataAnnotation

<div>
 We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
  <li>
   You&rsquo;ll be able to choose which projects you want to work on
  </li>
  <li>
   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots writing and editing tasks and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Demonstrated proficiency in related technical, statistical, and mathematical skills
  </li>
  <li>
   A current, in progress, or completed Masters and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 <br/>
 <br/>
 #math
</div>


Ericsson

<div><div><div><div><h2 class="jobSectionHeader"><b>Grow with us</b></h2>
</div><div><p><b>
About this opportunity:</b></p><p></p><p><br>
The Data Scientist for Service Line Operate Service Management Service Improvement is a key position reporting to the Manager &ndash; Data Science, and a member of BCSM Service Line Operate Service Management Service Improvement Team.</p><p><b>
Key Responsibilities</b></p><ul><li>
Enhanced Data analytics and Data Science &ndash; Use case design, modelling, and benefit realization</li><li>
Development of scientific methods, processes, and systems to extract knowledge or insights</li></ul><p>
The Data Scientist for Service Line Operate Service Management Service Improvement develops new solutions and maintain a strong analytical capability to improve service delivery by executing advanced capabilities such as analytics, machine learning skills and tools.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Join our Team</b></h2></div><p></p><div><p><b><br>
What you will do:</b></p><ul><li>
Develop/Own best in class statistical models (descriptive, diagnostic, prescriptive &amp; predictive) covering standard NOC parameters (Alarms, Tickets, WOs).</li><li>
Use cases / model creation (Live Site down, Genset Battery, CR dashboards etc.) with real time data and own/Manage/Revise Capability catalog.</li><li>
Develops scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.</li><li>
Translate data algorithms and complex ideas into actionable management insights and solutions.</li><li>
Translate operator business objectives into business intelligence through regressive data analytics.</li><li>
Drive reuse of analytics capabilities as per demands in other contracts.</li><li>
Analytical model development &amp; visualization request handling.</li><li>
Model LCM &amp; Enhancements over existing models.</li><li>
Explore and work on Big Data tools and technologies to sustain Ericsson&rsquo;s continued operational transformation objectives and market leadership.</li><li>
Continually innovate data reports and data visualizations based on defined objectives such that they bring overview for executive level viewership.</li><li>
Recognize irrelevant information and prevent it from clouding the overall picture.</li><li>
Coordinate with Proactive Problem Management/MSCLT/SDU teams to build models.</li><li>
Work with MSDMs/CPM, Operations SME &amp; other stakeholders to conduct value-stream mapping &amp; propose elimination of any non-value activities - to gain operational efficiencies.</li></ul><p></p><p><b><br>
The skills you bring:</b></p><ul><li>
7+ years of total experience with 3+ years of experience in Data Science, data modelling, Machine Learning, Statistics.</li><li>
Hands-on experience working in the related domains and/or Service Management functions.</li><li>
Strong understanding of Managed Services environment is mandatory.</li><li>
Strong telecom background in any of the domains (RAN/Core) is mandatory.</li><li>
Prior experience of working in MBNL operations is a plus point.</li><li>
Strong knowledge and experience in working with Data Analytic tools i.e., TABLEAU etc.</li><li>
Good understanding of Machine Learning, Artificial Intelligence and Cloud Technologies.</li><li>
Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS.</li><li>
Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e., R, Python.</li><li>
Education: bachelor&rsquo;s degree or equivalent.</li><li>
Driven by behaviors such as: Data driven, Agile, Automation, Value Focus, Innovation.</li><li>
Must have the ability to drive projects independently.</li><li>
Excellent English language skills oral and written.</li><li>
Self-motivated and works excellently under pressure.</li><li>
High degree of accountability and integrity.</li><li>
Highly developed skills in Interpersonal communication and ability to communicate effectively.</li><li>
Customer oriented and business minded &ndash; has a consultative approach and focuses on profitability.</li><li>
Analytical with strong problem-solving capability and strategic thinking.</li></ul></div></div></div><p><b>
Why join Ericsson?</b>At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br>
<br>
<b>What happens once you apply?</b>Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><p></p><p><b><br>
Primary country and city:</b> Saudi Arabia (SA) ||
</p><p><b>Req ID:</b> 785347</p></div><p></p>

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