Strong Analytics


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                <h2 class="fs-subheading mb16 fc-dark">About this job</h2>
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                                    <span>Job type: </span>
                                    <span class="fw-bold">Full-time</span>
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                                    <span>Experience level: </span>
                                    <span class="fw-bold">Mid-Level, Senior, Lead</span>
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                                    <span>Role: </span>
                                    <span class="fw-bold">Data Scientist</span>
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                                    <span>Industry: </span>
                                    <span class="fw-bold">Big Data, Data Science, Machine Learning</span>
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                                    <span>Company size: </span>
                                    <span class="fw-bold">11&#x2013;50 people</span>
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                                    <span>Company type: </span>
                                    <span class="fw-bold">Private</span>
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                <h2 class="fs-subheading mb16 fc-dark">Technologies</h2>
                <div>python, sql, tensorflow, spark, pytorch</div>
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            <h2 class="fs-subheading mb16 fc-dark">Job description</h2>
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<p><a href="https://www.strong.io/" rel="nofollow">Strong Analytics</a>&#xA0;is seeking a data scientist to join our team in developing machine learning pipelines, building&#xA0; statistical models, and generally helping our clients discover value in their data.</p>
<p>At Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying statistics and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into some larger architecture.</p>
<p>We offer a comprehensive compensation package, including:</p>
<ul>
<li>Competitive salary</li>
<li>Profit sharing or equity, based on experience</li>
<li>Health insurance</li>
<li>Four weeks paid vacation</li>
<li>Work-from-Home Wednesdays</li>
</ul>
<p><strong>Requirements</strong></p>
<p>Candidates will be evaluated based on their experience in the following areas (though no one is expected to be an expert in&#xA0;<em>each</em>&#xA0;of these):</p>
<ul>
<li>Statistical modeling and hypothesis testing</li>
<li>Applying machine learning to real-world problems</li>
<li>Writing clean SQL and ETL pipelines</li>
<li>Building Python applications</li>
<li>Building deep neural networks with modern tools, such as PyTorch or Tensorflow</li>
<li>Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop)</li>
<li>Deploying applications into cloud-based infrastructures (e.g., AWS)</li>
<li>Creating and interacting with RESTful APIs</li>
<li>Managing *nix servers</li>
<li>Writing unit tests</li>
<li>Collaborating via Git</li>
</ul>
<p>Applicants with a PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.</p>
<p>Applicants should have the ability to travel infrequently (&lt;5% of your time) for team meetings, conferences, and occasional client site visits.</p>            </div>
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Data Scientist

PriceSenz


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                <h2 class="fs-subheading mb16 fc-dark">About this job</h2>
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                                    <span>Job type: </span>
                                    <span class="fw-bold">Contract</span>
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                                    <span>Experience level: </span>
                                    <span class="fw-bold">Mid-Level</span>
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                                    <span>Industry: </span>
                                    <span class="fw-bold">Information Technology, Telecommunications</span>
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                                    <span>Company size: </span>
                                    <span class="fw-bold">51&#x2013;200 people</span>
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                                    <span>Company type: </span>
                                    <span class="fw-bold">Private</span>
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                <h2 class="fs-subheading mb16 fc-dark">Technologies</h2>
                <div>apache-spark, hadoop, bigdata</div>
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            <h2 class="fs-subheading mb16 fc-dark">Job description</h2>
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<p>PriceSenz is looking for a smart, self-motivated Big Data developers interested in contract/fulltime positions. This is a remote opportunity.&#xA0;</p>
<ul>
<li>5+ years of experience of IT platform development in Data Lake/Hadoop, Spark platform implementation.</li>
<li>Experience with developing data lake on Hortonworks platform (Any 3 from this list) with ecosystem tools (Nifi, Atlas, Ranger, Hive, HBase).</li>
<li>Experience building ETLs and data transformation routines.</li>
<li>Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, Avro, PARQUET, ORC).</li>
<li>Implementation experience dealing with variety of source data (RDBMS, Mainframe, Teradata) in different file formats.</li>
<li>Experience with Spark/Scala.</li>
<li>Good understanding of change data capture and market leading tools for CDC ( Such as Attunity).</li>
<li>Experience with AWS is a plus.</li>
<li>Worked in Agile, DepOps environment.</li>
</ul>
<p>If interested, please submit your profile at&#xA0;<a href="https://podio.com/webforms/24370680/1776812" rel="nofollow">https://podio.com/webforms/24370680/1776812</a></p>            </div>
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Remote Spark Jobs in the Indian Timezone

Data Scientist at Strong Analytics

Big Data Developer - Remote at PriceSenz